Quantum computing startup Oxford Ionics has raised £30 million in Series A funding.

Big Data is an extensive amount of data that gets generated on a daily basis. Big Data has accumulated a considerable amount of attention in numerous industries such as Healthcare, Manufacturing, Finance services, and more. This has led to the rise of Big Data books since the interest among the masses in Big Data analytics keeps on growing.
Big Data books can help people learn and understand different aspects of Big Data including fundamentals, big data management, analytics, ethics, and more.
In this article, we are going to list down the 11 Best Big Data Books in 2023 for beginners and advanced readers based on your reading needs to help you understand and gain more insights on Big Data, its uses, challenges, advantages, and more.
We have researched and collected a list of 11 Best Big Data Books in 2023. This includes both Beginner and advanced-level books that can help you learn more about Big Data analytics with proper guides.
Here are some of the Big Data reference books that you need to read:
Originally Published in 2021, Big Data: Concepts, Technology, and Architecture is the perfect Big Data book that offers in-depth coverage of Big Data tools, terminology, processing and analysis techniques, and technology for beginners, researchers, graduates, and business professionals.
This book highlights all the key concepts of Big Data with proper analysis and case studies. Through this book, you’ll learn about the creation of structured, unstructured, and semi-structured data, traditional database solutions such as data analysis, SQL, machine learning, data mining, and much more.
This is one of the best big data books for beginners who want to learn and understand the concept, technology, and process of Big Data.
Key Benefits:
Written by Viktor Mayer-Schönberger (Author), and Kenneth Cukier (Author), this book brings a revelatory exploration of all the trending and hottest trends in technology. In this book, two of the most respected data experts in the world have revealed the reality of the Big Data world.
It has also outlined clear and actionable steps that will equip the reader for the next step of human evolution. They also highlight top issues with Big Data in every aspect of life.
The authors have provided in-depth research on big data, showcasing that big data is much more than just technology or business, it’s also a crucial part of education, government, healthcare, and more.
Key Benefits:
This book contains a collection of some of the best practices by organizations around the world that have successfully implemented Big Data platforms. This book was written by Peter Ghavami and was published on 9 November 2020. The author has discussed the entire data management life cycle in this book, including data council, data quality, regulatory considerations, operational models, and more.
This book is a must-read for researchers, data scientists, and business leaders who are looking forward to implementing a big data platform into their companies or businesses. This book will help corporate leaders understand data analytics rigorously as this book discusses strategies, recipes, and numerous policies required for managing Big Data.
In addition, it also addresses critical matters of Big Data such as its security, privacy, controls, and much more. Overall, this is an excellent book for those who want to learn the lifecycle of Big Data management offering modern principles.
Key Benefits:
Published on 29 December 2015 by authors Paul Buhler, Thomas Erl, and Wajid Khattak. Big Data Fundamentals is a book that provides a pragmatic, no-nonsense introduction to Big Data. It contains clear explanations of Big Data concepts, theory, and terminology, along with fundamental technologies and techniques.
The best part about this book is that all the coverage mentioned is backed with case study examples and various simple diagrams. The authors have explained to corporate leaders how Big Data can propel their organizations or businesses forward solving a large amount of previously intractable business problems.
It also contains analysis techniques and technologies that showcase how a Big Data solution environment can be created and implemented to offer competitive benefits.
Key Benefits:
Unlike other books “Everybody Lies” doesn’t talk about the technical aspect of Big Data. Instead, this book provides fascinating, surprising, and at times hilarious insights into everything. The author Seth Stephens-Davidowitz has addressed everything in this book from economics to ethics to gender to sports and more, all gathered and analyzed from the Big Data world.
The primary idea suggests that whenever an individual gets asked anything regarding their likes or behavior in surveys they tend to lie. This book showcases how big data can be utilized to enhance our learning of human behavior, emotions, thoughts, and preferences. He has explored the power of digital truth serum revealing biases deeply embedded within humans.
Everyone gets touched by Big data on a daily basis, and its influence is growing at a higher rate every day. The book Everybody Lies is challenging people to understand human behavior and think differently about how we truly see the world.
Key Benefits:
This is an impressive book that can help marketers and business leaders leverage big data insights that can ensure business success and help improve customer experience. The author has included numerous ways through which marketers can use Big Data to engage their customers more effectively.
It provides a special five-step method for a more data-driven marketing organization. This book also provides a strategic roadmap for executives through which you can start driving competitive advantage and lead the line growth.
It contains a wide range of real-world examples, additional downloadable resources, non-technical language, and much more that can help people discover the solution offered by data-driven marketing.
Key Benefits:
Published in 2017, Dawn E. Holmes, Big Data: A Very Short Introduction explains how Big Data works along with how it’s transforming the world. This is an ideal book for data scientists and beginners who want to learn about Big Data and how the data gets stored, analyzed, and more.
The author Dawn E. Holmes has utilized a wide range of case studies in this book to help people understand the process of data being stored and identified along with how it gets exploited through big companies to organizations concerned with disease control. The major topic covered in this book is Big Data’s necessity in today’s world.
Key Benefits:
This book contains a unique and extraordinary perspective on Big Data analytics for IT and business professionals. Published on 27 December 2012, by authors Michael Minelli, Ambiga Dhiraj, Michele Chambers.
It deals with big data and analytics worlds and offers insightful suggestions to business leaders on constructing data-driven conclusions or analysts looking for a more in-depth understanding of the industry.
It delivers information and insights about the trends in Big Data and how they affect numerous industries such as Healthcare, Financial Services, Marketing, and more. This book also takes a look at the cutting-edge companies that are supporting the new generation of business analytics.
Explaining how the new technology can be used by different businesses and companies to gather data to generate critical insights. The authors have explored a variety of topics such as Data visualization, Structured and unstructured data, Data Privacy, Security, cloud computing for big data, and more.
Key Benefits:
Big Data in Practice is another excellent book that can help you understand how specific companies utilize Big Data analytics to deliver impressive results. Written by best-selling author Bernard Marr, this book provides an in-depth insight into the knowledge gap by showcasing the method through which some of the top companies are accessing big day from an up-close, on-the-ground perspective.
This book can help business leaders learn about the actual strategies and methods used by professionals to learn about the customer, improve safety, improve manufacturing, and much more. Big Data in Practice provides insight into how data analytics has been utilized in different industries such as Technology, Media and Retail, Government Agencies, Financial Institutes, Sports, and more.
Marketers can easily learn about how the data is used in each company profile, what problem it solved, the process that took place, technical details, challenges, and lessons. Learn how predictive analytics helped some most well-known companies such as Amazon, Target, and Apple to understand their customers and their perspectives.
Key Benefits:
Published on 29 April 2015, by authors Nathan Marz and James Warren. This book “Big Data” provides a clear guide on how you can build big data systems by utilizing architecture. Which can take advantage of the clustered hardware in addition to new tools that are designed specially to analyze and apprehend the web-scale data.
In this book, the author has described a scalable, and easy-to-understand process for the big data systems which can be produced and easily handled by a small team.
Apart from this, this book also delivers a practical guide to its readers about the idea and functioning of big data systems, how you can execute them in their practice, and how exactly you can deploy and manage them by utilizing straightforward techniques.
Overall, this is an excellent book for data scientists and those users who are looking for ways to build big data systems, as it can help provide easy-to-understand and scalable approaches.
Key Benefits:
Data Science and Big Data Analytics is another excellent book choice for beginners who want to understand and learn about Big Data. This book was published on 19 December 2014, and it covers numerous parts of Big Data analytics such as overview, data structure, data analysis lifecycle, key roles for new big data ecosystem, and more.
This book covers the breadth of methods, activities, and tools that are utilized by Data Scientists along with deploying a structured lifecycle approach to the problems generated in Data analytics. It focuses on the principles, concepts, practical applications, and more that are applied and used in the industry and technology environment.
It also includes numerous examples and learning that are supported and explained to replicate the usage of open-source software.
Key Benefits:
Big Data books can help provide valuable insights, techniques, and real-life examples that can enhance your knowledge of Big Data and eliminate any complexities.
Whether you are a beginner or business leader or simply a Big Data enthusiast these above-mentioned books can help you expertise in Big Data through its comprehensive guides, strategies, innovations, business success, and more. Users can either purchase these books online or download big data books pdf to acquire the knowledge of Big Data.
In this tech-savvy world where phones and chatting are super popular, something really cool is happening. There’s this smart computer thing called ChatGPT made by OpenAI, and it can talk with you just like your friends do. What’s even cooler is that you can use ChatGPT right in your WhatsApp!
This article will help you how you can add ChatGPT to WhatsApp with Chatbots and an AI keyboard. Whether you’re a student needing help with your school stuff or a business person trying to talk with your customers, ChatGPT can make things easier and more fun. We’ll show you step-by-step how to set up ChatGPT in WhatsApp and how to make it work for you.
BuddyGPT is a third-party AI-based chatbot that you can utilize to use ChatGPT without login or sign up on WhatsApp. It is powered by OpenAI’s API to answer requests on WhatsApp.
The WhatsApp chatbot uses the DaVinci model, which is practically GPT-3. BuddyGPT is a great way to get the power of ChatGPT on WhatsApp. It is easy to use and has a variety of features to make it a valuable tool for individuals.
To add ChatGPT to WhatsApp with chatbots with BuddyGPT, follow these steps:
1. Visit the BuddyGPT website(https://buddy got.ai/).
2. Click on the “Try for free on WhatsApp” button.
3. You will be redirected to WhatsApp.
4. Go through the terms and conditions and tap “I Accept” to move forward.
5. Choose the language of your choice and tap “Send.”
6. BuddyGPT will start a conversation with you.
You can now start using ChatGPT on WhatsApp. To do this, simply type your query or request into the chat window and send it. BuddyGPT will respond using ChatGPT’s capabilities.
WizAI is a WhatsApp chatbot platform that allows you to create and deploy custom chatbots to answer customer questions, provide support, and generate leads. WizAI also integrates with ChatGPT, allowing you to create WhatsApp chatbots that are powered by ChatGPT’s AI capabilities.
WizAI is a versatile tool that can be used by businesses of all sizes to improve their customer service, generate leads, and grow their business.
To add ChatGPT to WhatsApp with chatbots with WizAI, follow these steps:
1. Go to the official WizAI website (https://www.getwiz.xyz/).
2. Click on the “Get Started” button.
3. This will open WhatsApp and prompt you to give WizAI permission to access your WhatsApp account. Click “Allow”.
4. Once WizAI has been granted permission, you will be able to start chatting with ChatGPT. Simply type your query into the chat bar and hit send. ChatGPT will respond accordingly.
WizAI offers a free plan with limited access to features, as well as paid plans with unlimited messages and other features.
Shmooz AI is an AI-powered WhatsApp chatbot that transforms customer support and business communication. It is designed to enhance interactions and streamline customer support experiences, offering a range of impressive features, including personalized responses, 24/7 availability, WhatsApp integration, and innovative additions like AI photos and Google searches.
To add ChatGPT to WhatsApp with chatbots with Shmooz AI, follow these steps:
1. Go to the Shmooz AI website on your smartphone.
2. Click the green Start Shmoozing button.
3. Tap on the Continue to Chat button.
4. WhatsApp will open with Shmooz AI written at the top of the screen.
5. Type a query and hit the send button, just as you would chat with a real person.
Shmooz AI will then respond to your query using ChatGPT. Note that Shmooz AI is a paid service, but it offers a free trial with 5 messages.
SwiftKey is a virtual keyboard created by Microsoft with capabilities similar to ChatGPT. It incorporates artificial intelligence to learn a user’s writing style and make word and phrase suggestions. It also has built-in features like autocorrect, swipe typing, personalized forecasts, and over 400 language support.
To add ChatGPT to WhatsApp with an AI keyboard with Microsoft Swiftkey, you can follow these steps:
1. Download and install the Microsoft SwiftKey beta app from the Google Play Store.
2. Open the Microsoft SwiftKey beta app and sign in with your Microsoft account.
3. Tap the Bing icon in the toolbar.
4. Tap Continue to Chat.
5. WhatsApp will open with a new chat conversation with Shmooz AI, a chatbot powered by ChatGPT.
To use ChatGPT in WhatsApp, simply type your query in the chat conversation and hit send. ChatGPT will respond with a text-based response, or even generate images if you ask it to.
Paragraph AI uses a variety of machine learning techniques, including natural language processing (NLP) and deep learning, to generate text that is both accurate and fluent. Users can repeatedly generate answers to the same question using AI until they are happy with the result.
The message’s tone can be changed by users of Paragraph AI’s free version. With its free plan, you can use a lot of its features. But if you want advanced features, you must upgrade to the Premium plan.
To add ChatGPT to WhatsApp with an AI keyboard with Paragraph AI, follow these steps:
1. Download the Paragraph AI app from the Google Play Store or the Apple App Store.
2. Open the Paragraph AI app and follow the instructions to set it as your default keyboard.
3. Open WhatsApp and start a new conversation or open an existing one.
4. Tap on the Paragraph AI keyboard icon in the bottom-left corner of the screen.
5. Type your prompt or question into the Paragraph AI keyboard and tap the “Write” button.
6. Paragraph AI will generate a response, which you can then review and send to your contact.
In conclusion, businesses can gain a number of advantages from integrating ChatGPT with a WhatsApp chatbot, including increased client satisfaction, less work for customer service departments, and insightful data on client behavior.
Businesses can quickly and effectively deploy chatbots across multiple channels, including WhatsApp, to improve user experience and customer service thanks to the simplicity and ease of integration.
In today’s world, Large language models are highly advanced programs that help machines understand and generate Human-like text. They have been the foundation of Natural language processing for almost 10 years now.
Although artificial intelligence ( AI ) has gained popularity recently, large language models ( LLM ) started to appear around 2014 after the discovery of the publication of a research paper “Neural Machine Translation by Jointly Learning to Align and Translate.”
So what are LLMs? Well, Large language models ( LLM ) are a type of language model that is known for their ability to understand general-purpose language and generation. LLM gets these abilities by using data to learn and train on billions of parameters which also consume large amounts of computational resources during the process. LLMs are basically Artificial neural networks otherwise well known as transformers and are pre-trained using methods like self-supervised learning and semi-supervised learning.
After the Discovery of the publication, LLM has seen a giant boost in research and development over the years with LLMs like ChatGPT from OpenAI, Bard from Google, PaLM, Claude, Cohere, Flacon, LLaMA by Meta, Guanaco, MPT, Lazarus and many more emerging today. Some of them are open source while others are closed source from large corporations such as Google, Microsoft, X formally known as Twitter, ChatGPT by OpenAI, and many more.
In this article, we will dive deep into the best LLM currently accessible and why they have an edge over others.
ChatGPT is an Artificial intelligence chatbot also known as Generative pre-trained transformers ( GPT ) is a type of learning model that is used to generate human-like text, which is commonly used to answer questions, summarize and translate text, generate codes, blog posts and much more.
ChatGPT-4 or GPT-4 is the most latest and advanced language model introduced by OpenAI on March 14th, 2023. It has shown the capability of human-level performance in various academic exams.
Compared to its predecessor GPT-3.5, GPT-4 shows drastic improvements over the natural language processing ( NLP ) capabilities via increased accuracy as GPT-4 is trained on 8 models with 220 billion parameters each which in total amounts to 1.76 trillion parameters which, by far is the highest amount of Parameters on which an LLM has ever trained. However, it is a closed-source model which makes it very difficult to edit or modify.
Pros:
1. It’s a time saver as ChatGPT 4 is consistent and reliable by being fast and accurate to the queries users input. As ChatGPT-4 works 24×7 it becomes a reliable source of information at ease.
2. It’s cost-effective and scalable as it can handle large amounts of tasks at once and can automate a majority of the tasks thrown at it as it helps businesses to scale cost-effectively and provide efficiency.
3. The best part about ChatGPT-4 is that it can be tailored according to the needs of its users as it uses its Artificial intelligence models which are trained on the latest scale of parameters to ensure the diversity of its users.
4. ChatGPT-4 is multilingual which removes language barriers for its users around the world, as it uses a system that allows it to connect better with the users to deliver and bridge linguistic barriers.
Cons:
1. ChatGPT-4 has gained a reputation for providing wrong answers as it stands out compared to other AI tools cause of its unique way of approaching responses.
2. ChatGPT-4 has been revealed to be extremely biased, as ChatGPT-4 was trained on the largest amount of parameters its AI model was created from the collective writings of humans which has resulted in ChatGPT’s biggest flaws as it also includes some of the same biases that exist in our human world.
3. ChatGPT-4 is a harmful tool in the wrong hands, from recent discovery ChatGPT-4 was used to conduct malicious cyber activity despite its improvements over time.
4. ChatGPT-4 can manipulate humans to perform certain tasks, as this was recently discovered by the Alignment Research Center ( ARC ) when conducting research they found out that ChatGPT-4 Acted as a visually impaired person and interacted with humans to conduct tasks like solving Captcha puzzles.
GPT-4 can be used to its full potential for website creation in terms of dynamic content creation, design prompts, and interactive content. It can be even used for monetization by targeted advertising, and personalized user experience. And it can be used for Marketing like influencer collaborations, and video marketing.
ChatGPT also known as Generative pre-trained transformers (GPT ) GPT-3.5 the predecessor of GPT-4 both introduced by OpenAI. ChatGPT-3.5 was officially released to the public on Match 15th 2022. It has a faster response time but at the cost of accuracy cause of its small parameter size.
Whereas GPT-4 scored a whopping 67% in accuracy GPT-3.5 scored merely 48.1% in accuracy as ChatGPT-3.5 was trained on 175 billion parameters which is 1/10th of what ChatGPT-4 was trained on which was 1.76 trillion parameters.
Nonetheless, during GPT-3’s release, it had the largest neural network-based Artificial Intelligence model followed by Microsoft’s turning NLG model which had 10 billion parameters. The upside of GPT-3.5 is that it is accessible to individuals and businesses as it’s a cloud-based service that can scale according to the needs.
Pros:
1. ChatGPT-3.5 has now become available to the public for free since GPT-4 has been implemented into the premium version.
2. ChatGPT-3.5 is way more cost-efficient as it takes $0.0015/1k tokens for input and $0.002/1k tokens for output compared to GPT-4’s $0.03/1k tokens for input and $0.06/1k tokens for output. this helps companies and users expand at a cheaper cost.
3. The availability of GPT-3.5 in ChatGPT has gained popularity in the Artificial intelligence generation space and has amassed around 100 million users within two months of its launch to the public. And the best part is it is free to use which boosted its user count over the year.
Cons:
1. ChatGPT-3.5 does have some fair enough drawbacks since GPT3.5 has been trained on lower parameters compared to its successor GPT-4, it often shows inaccuracy when it comes to providing information.
2. ChatGPT-3.5 was established on pre-trained data before 2021 which causes it to not be up to date with the latest information regarding user queries which results in overall dissatisfaction of users as there are other AI chatbots out in the market for free which are up to date with the latest information like Bard from google.
3. ChatGPT-3.5 also has a flaw of not being able to understand user queries based on how they are worded since it has been trained on lower parameters it has caused it to not recognize certain queries that are worded differently.
4. The most major drawback of ChatGPT-3.5 is that it does not pose the ability to access the internet for more information which overall limits its ability to provide vast information.
GPT-3.5 can be used to its full potential for website creation tasks such as generative content, and optimizing SEO, for monetization, it can analyze user behavior, and create ad copy, And for marketing it can automate email campaigns and craft engaging social media posts.
PaLM 2 ( Bison-001 ) is an LLM developed by Google AI which was released in May 2023. PaLM 2 serves LLM which powers Google’s AI chatbot Bard. it has been trained across various TPU 4 Pods and custom hardware designed specifically for machine learning which uses 340 billion parameters and is trained on 3.6 trillion tokens.
PaLM 2 is currently under development but it still can understand language, offer machine translation, code generation, generate natural language responses to questions, and many more things.
Pros:
1. PaLM 2 is the predecessor of PaLM, which means it has been developed to perform better compared to PaLM, as PaLM 2 can be deployed on a vast range of applications.
2. PaLM 2 has proved to be more accurate compared to its predecessor PaLM as this helps it to be more reliable.
3. PaLM 2 is designed to be more secure compared to PaLM which helps it prevent itself from being used for malicious activities.
4. PaLM is capable of performing a lot of tasks which allows it to be helpful when it comes to getting a large amount of queries fulfilled at once.
Cons:
1. PaLM 2 is very hard to train as it requires a large-scale database to be trained to execute queries which can surely be unwanted according to some businesses and individuals.
2. PaLM 2 does not go easy on the computing power requirements to deployed for use as it takes up a lot of computing power to execute queries which may lead to unwanted depletion of resources and incurring unwanted costs.
3. PaLM 2 has another major issue of being a complex tool to handle, this will cause individuals and businesses who do not have the right team trained to use PaLM will suffer when it comes to using PaLM 2 to its full potential.
PaLM 2 can be used to its full potential for website creation by eCommerce sites, personalizing user experience, and generating creative layouts, it can be used for monetization by data protection and privacy, selling data to protection and privacy solutions, and marketing the security of PaLM-powered websites, and It can also help in Marketing by creating case studies, and partnering with data protection and privacy organizations.
Claude v1 is an advanced LLM created by Anthropics which is supported by Google and was released on March 14th, 2023. Claude v1 was trained on 175 billion parameters. Its primary objective is to create AI systems that are safe and reliable.
Claude v1 uses an advanced architecture compared to other LLMs which makes it process information efficiently and allows it to make better predictions. Claude v1 is famous for its capabilities to allow anyone to understand, build, and grow a website without having prior knowledge of it.
Pros:
1. Claude 1 can read, summarize, and analyze content from uploaded files which is by far the best feature that enables users to not waste time in typing out the data from files into prompts.
2. Claude 1 can process large amounts of words compared to any other AI chatbot which puts it above everyone as it allows 75,000 words per prompt and 100k words as output. This is all possible because of its LLM which uses advanced NLP to process and connect huge databases and find relations to generate larger outputs.
3. Claude 1 was trained with data up to the year 2022 which allows it to provide information regarding the after-pandemic world which is very important when it comes to doing research.
Cons:
1. Claude 1 carries the biases of human data as it is yet to be trained on a larger more diverse scale to not give out biased output.
2. Claude 1 also had the issue of being hard to customize according to user preference as it needs Claude to be heavily trained on another set of data and highly modifying its core fundamentals which may be as good as making another AI tool at this point.
3. Claude 1 has a flaw of being not capable enough of performing all tasks equally which may lead to gaps in performance which in turn may lead to big issues such as misinformation and major errors.
Claude v1 can be used to its full potential for Website creation in which Automated management, SEO, and content creation and SEO are possible, and it can also help in Monetization via, custom engagement, and Ad customization, And it can also help in Marketing by refining landing pages, email marketing, and campaign optimization.
Cohere is an LLM that can be fine-tuned according to the enterprise’s specific use scenarios as it was released in June 2022. Cohere is trained on 52 billion parameters. Cohere’s company was founded by one of the authors of the research paper “Attention Is All You Need”.
Cohere has the advantage of not being restricted to one cloud platform compared to other LLMs like OpenAI. Cohere is known for its accuracy but it is more expensive compared to OpenAI models.
Pros:
1. Cohere Ai can push boundaries as it allows users to automate various tasks, streamline processes, and enhance customer service.
2. Cohere can be fine-tuned as the ease of doing so is unmatched by other AI tools/chatbots till now.
3. Cohere is up to date with privacy and security concerns to avoid any mishaps in the future.
Cons:
1. The only limitation Cohere has is that it has less brand awareness compared to other AI tools/chatbots which may lead to it not being profound among businesses which may in turn lead to future issues in terms of updates and stability.
Cohere can be used to its full potential for Streamlining content creation, subscription services, personalizing content, and much more.
Falcon is an open-source LLM that has three variants: Falcon 1B ( 1 billion parameters ), Falcon 7B ( 7 billion parameters ), and Falcon 40B ( 40 billion parameters ). Falcon was created by the Technology Innovation Institute on the transformer architecture which allows Falcon to be in a casual decoder-only model.
Falcon’s LLM was released on September 6th, 2023. Falcon comes under the Apache 2.0 license as it has been trained on higher-quality datasets. Falcon can be used to its full potential for Improving business communication, Tapping into Niche Markets, tailoring marketing, and much more.
Pros:
1. Falcon can be multilingual as English is its main language now it can understand various other languages like German, and French.
2. Falcon can change the commercial usability in terms of being able to be fine-tuned according to user preference.
Cons:
LLaMA known as Large Language Model Meta AI released in February 2023, has two variants: A large one with 65 billion parameters and a small one with 13 billion parameters. The smaller variant is more capable and accurate compared to GPT-3. LLaMA’s primary focus is on educational applications and is mostly helpful for Edtech platforms.
While LLaMA can be used for tasks like including query resolution, reading comprehension, and natural language comprehension. LLaMA can be used to its full potential for improving interactivity, premium subscription-based content, and creating engaging content.
Pros:
1. LLaMA can be more resource-efficient in terms of resource usage.
2. LLaMA does have a smaller parameter on which it runs which results in lower costs.
3. LLaMA is available for users as it is under a non-commercial license which widens the possibility and user diversity.
Cons:
1. LLaMA is not capable as compared to other AI tools/chatbots which surely results in not the best output in terms of complexity.
Guanaco-65B as the name itself suggests has 65 billion parameters, it is an open-source model that is derived directly from LLaMA and fares well compared to other LLMs.
Guanaco competitor GPT-4 from OpenAI does not stand a chance since Guanaco’s text generations are faster cause of less computational resources required. Guanaco has various variants ranging from 7B, 13B, 33B, and 65B which is their largest version trained on 65 billion parameters.
Pros:
1. Guanaco is an open-source model which allows it to be more fine-tuned according to user preferences.
2. Guanaco users have lesser computational power compared to the most popular AI chatbot/tool ChatGPT by OpenAI as it allows users to get the same results with lesser computational power.
Cons:
1. Guanaco fails at doing Math which is its biggest letdown since it runs off a 4-bit interface which has limitations.
Vicuna 33B is another open-source model derived from LLaMA that was released in April 2023. As the name suggests Vicuna 33B has been trained on 33 billion parameters.
Vicuna is well-tuned using data collected from sharegpt.com, a platform where users share their ChatGPT conversations. The Vicuna does not come at par with GPT-4 but it surely performs well based on the language and parameters it was trained on.
Pros:
1. One of the biggest Advantages Vicuna has is that it can run locally and help patient privacy be maintained.
2. Vicuna is an open-source model that helps users with its scalability and has an advanced database to work with.
Cons:
1. Vicuna has some limitations in terms of solving math or reasoning queries.
2. Vicuna also has a limitation in providing factually correct information.
3. Vicuna has yet not been polished enough for safety in terms of being potentially toxic and having biases.
MPT-30B is yet another open-source model based on LLaMA that was released on May 5th, 2023. It is trained on data sets from Camel-AI, GPTeacher, Baize, and ShareGPT, offering an astonishing context length of 8000 tokens.
MPT-30B directly outperforms GPT-3 from OpenAI. MPT-30B is trained on 30 billion parameters and it is so well-optimized and is smaller in scale compared to its competitors that you can even run it locally on your system.
Pros:
1. MPT can handle longer input queries by users.
2. MPT is equipped with highly efficient open-source training code.
Cons:
1. MPT does not pose the ability to be deployed without being fine-tuned.
2. MPT does produce factually incorrect outputs as it was trained on various public databases.
30B-Lazarus is developed by CalderaAI which uses LLaMA as its foundational model and was released in June 2023. The devs have used LoRA-tuned datasets from various models which include GPT-4, SuperHOTm Alpaca-LoRA, and many more.
As a direct result, the LLM performs better on various benchmarks. 30B-Lazarus falls short by a very small margin compared to Falcon and Guanaco. 30B-Lazarus is best for text generation as it lacks conversational chat responses.
WizardLM is an open-source LLM that is built to follow complex instructions and was released on May 26th, 2023. The LLaMA model is trained via a group of AI researchers who rewrite instructions into more complex instructions which they feed into WizardLM which is then used to LLaMA.
The surprising part is that WizardLM has just 13 billion parameters yet its output is far more satisfactory compared to OpenAI’s ChatGPT.
Pros:
1.WizardLM can set simple instruction queries and turn them into more complex to turn them into higher quality instructions.
Cons:
1. WizardLM’s drawback is that in development its database cannot be automated as it needs human interference to check the quality of the data to avoid biases in the future.
GPT4ALL is a project that is run by Nomic AI, GPT4ALL can run in-house models to your Local LLMs with ease on your computer without any dedicated GPU or internet connection. It has a compact 13 billion parameters model. GTP4ALL also has 12 open-source models from different organizations as they vary from 7B to 13B parameters.
The best part about GPT4ALL is the ease of installation and setup which has never been this easy for any LLM, all you have to do is get the GUI installer select the model you want to work with, and install with a click of a button you have access to your very own LLM.
As days go by LLM keeps advancing and finding new ways to get integrated into your business model. We already have a variety of LLMs to choose from to help us grow our corporations. Having access to the best LLM at your disposal is crucial to ensure effective progress.
The Best LLM for your work will depend on your budget and your needs. If you ever get confused about getting one LLM why not give both a try alternatively to see which suits your needs better? The best would be to know more about LLM and get ahead of everyone in understanding its true value while integrating it and getting hands-on experience with it.
Threads is an online social media platform operated by Meta Platforms that allows users to share their posts, reposts, likes, images, videos, and more. Threads was launched in July 2023 and gained 1 million sign-ups within the 1st hour of launch.
It even surpassed ChatGPT in becoming the fastest platform to reach 100 million sign-ups in just 5 days. In this article, we are going to take a look at the Threads app Statistics as of 2023 and talk about its Daily Active users, Forecast revenue, Usage Rate, and much more. So, let’s get started.
Launch Date | July 5, 2023 |
Owner | Meta Platforms |
Type of site | Social networking platform |
Languages Available | 31 languages |
Areas Served | 100 countries |
Threads gained massive sign-ups within a few hours of its launch, in its first hour Threads gained 1 million subscribers and in just 5 Days the sign-ups crossed 100 million showcasing the astonishing demand of the platform among the audience.
Here is a table demonstrating Threads accumulation of users after its launch:
Duration | Number of users signed-up |
1 hour | 1 million |
2 hours | 2 million |
4 hours | 5 million |
7 hours | 10 million |
12 hours | 20 million |
16 hours | 30 million |
2 Days | 70 million |
4 Days | 90 million |
5 Days | 100 million |
6 Days | 115 million |
Source: Wikipedia
Threads received excellent response from the audience and broke the record of the fastest-growing consumer app in internet history, which was previously obtained by OpenAI’s chatbot “ChatGPT.” Threads was able to gain 1 million sign-ups in just one hour and was able to reach the astonishing mark of 100 million sign-ups in five days, which was achieved by ChatGPT in 2 months.
According to a new forecast, Meta’s Threads app released in July 2023, is likely to generate around $8 billion in annual revenue and is expected to reach about 11.3 billion by the end of 2026.
Year | Forecast Revenue (in billions) |
2023 | 0.8 billion |
2024 | 4.5 billion |
2025 | 8 billion |
2026 | 11.3 billion |
The Thread platform allows users to use up to 500 characters in a post or comment. Users can also upload links, images, and videos up to 5 minutes in length. Regardless of Threads appearing quite similar to the popular tweeting app Twitter/X, this platform allows users to post with twice as long characters as Twitter/X. Since Twitter only allows users to post up to 280 characters of posts with threads you can post up to 500 characters effortlessly and even add up to 10 images in a post.
Threads was first introduced as a mobile-only app in July 2023 imitating the parent app Instagram. Users need to download the official app of Threads through the Play Store or App Store on their device to access the platform.
However, eight weeks after the release of Threads Mark Zuckerberg announced they were introducing a new web version of Threads. This announcement came on August 22, and now users can easily access Threads through the web by visiting https://www.threads.net/login and interacting with people through their PCs.
According to Similarweb, the average amount of time spent by daily active users was initially 14 minutes globally during its launch along with the US having a significantly higher duration of about 21 minutes. However, after a month of its release, the figure subsequently dropped to 3 minutes.
Threads witnessed a massive rise in its sign-ups quickly after the app was launched in July 2023 with users across the world downloading the app and crossing 100 million sign-ups in just 5 Days. However, the usage count of the threads app instantly dropped just a month after its launch according to Similarweb.
The Android app Threads witnessed a peak at 49.3 million Daily active users globally on 7th July. However, after a month on August 7th, the app witnessed a massive drop in daily active users as the count went from 49.3 million to 10.3 million. In the United States threads app had 2.3 million Daily active users by 7th July. However, by the 7th of August, the Daily active user count was 576,000.
Within a short duration after Threads launch, the app held the top spot in Google’s Play Store and Apple’s App Store. However, after a few days on July 10, 2023, the spot was overtaken by another highflyer, Remini holding the top spot on the Apple App store in the U.S.
According to Data.ai, India has the highest download rate in Threads worldwide with about 33% share of downloads. Brazil holds the second position in the highest Threads download rate with 22% of downloads followed by the United States with a 16% download rate. Mexico is the fourth country in this list with 8% of the highest threads downloads while Japan holds about 5% of Threads downloads.
Regardless of Threads gaining an impressive amount of sign-ups in just a few months of its launch, the Daily Active users ratio isn’t as high as expected. According to the latest data, the daily active users list in July 2023 was only 8 million despite Threads having 100 million sign-ups in just 5 days. This is a major drop from its peak daily active user count which was 44 million reported on 7th July, 2023.
A large part of Threads is dominated by Males 68%, while only 32% of females are accessing the thread app according to a report by searchlogistic.
Here is a table showcasing the distribution of Threads users based on the Gender:
Gender | Percentage of users |
Male | 68% |
Female | 32% |
The largest age group of users in Threads belongs to the audience aged between 15 to 23 years with 28%. While 11% of males and about 5% of females belong to the age group of 18 to 25 years. It was also reported that only 2% of females and 3% of males aged 45 years and older are accessing Threads.
Threads is still a relatively new app considering it was launched a few months back in July 2023 hence it’s difficult to generate statistics about the app. However, there is no doubt that threads witnessed an impressive amount of sign-ups during its launch and even surpassed popular chatbot ChatGPT in becoming the fastest platform gaining 100 million sign-ups in just 5 days.
Regardless of a steady start, there has been a drop when it comes to Daily active users, downloads, and much more which has dropped the popularity threads gained during its launch. As of now, Meta is working towards improving its features and taking in the best ideas to improve the stats of Threads and become more appealing than Twitter lite.
For a comprehensive overview of the social media giant that redefined real-time communication, be sure to check out our detailed article on Twitter Statistics.
WhatsApp is an instant messaging app owned by Meta platforms that allows users to send messages, images, voice notes, video messages, etc rapidly through this app. As of June 2023, there were approximately 2.78 billion unique active WhatsApp users globally.
WhatsApp Business app has made it easier for small businesses and start-ups to connect with potential customers, respond to queries, and provide overall enhanced customer service.
In this article, we are going to discuss top WhatsApp Statistics as of 2023 and highlight crucial stats of WhatsApp such as number of messages sent per day, WhatsApp users by country, WhatsApp penetration rate, and much more. So, let’s get started.
As of June 2023, Whatsapp had around 2.8 billion users worldwide. WhatsApp is dominated by the male audience by 52%, while the female audience who utilizes WhatsApp is 47.1%.
Gender | Percentage of Users |
Male | 52% |
Female | 47.1% |
Source: Statista
As of 2023, 140 billion messages are exchanged on the messaging app WhatsApp every day.
This means around 5833 million messages are exchanged every hour, 97 million messages are sent every minute, and about 1.6 million messages are sent every second.
Here is data on the number of messages exchanged on WhatsApp over the years:
Month | Number of messages exchanged |
October 2011 | 1 billion |
January 2015 | 30 billion |
Feb 2016 | 42 billion |
July 2017 | 55 billion |
March 2018 | 65 billion |
October 2020 | 100 billion |
July 2023 | 140 billion |
WhatsApp is available in 180 countries, out of which India has the highest number of WhatsApp users globally. Followed by Brazil in the second position with 148 million users and Indonesia in third place with 112 million users.
Country | Number of users |
India | 535.8 million |
Brazil | 148 million |
Indonesia | 112 million |
United States | 98 million |
Philippines | 88 million |
Mexico | 77 million |
Russia | 66.7 million |
Turkey | 60 million |
Egypt | 56 million |
Pakistan | 52 million |
As of July 2023, WhatsApp had around 2.78 billion unique active users worldwide. This popular messaging app reached the 2 billion mark back in 2020 and is expected to reach 3.14 billion by 2025. The massive spike in monthly active users came in 2020 when Whatsapp witnessed a growth of 40% in its monthly active users.
Year | Monthly Active Users |
January 2014 | 430 million |
February 2014 | 465 million |
April 2014 | 500 million |
August 2014 | 600 million |
January 2015 | 700 million |
April 2015 | 800 million |
September 2015 | 900 million |
February 2016 | 1 billion |
January 2017 | 1.2 billion |
July 2017 | 1.3 billion |
December 2017 | 1.5 billion |
February 2020 | 2 billion |
July 2021 | 2 billion |
September 2021 | 2.16 billion |
April 2022 | 2.24 billion |
July 2023 | 2.7 billion |
Brazil contains the highest share of WhatsApp users with about nine in 10 messaging app users in the country. The WhatsApp Penetration Rate of Brazil is about 98.9% followed by India in the second position with 97.1% and Italy in the third rank with 97%.
Country | WhatsApp Penetration Rate |
Brazil | 98.9% |
India | 97.1% |
Italy | 97% |
Argentina | 96% |
Switzerland | 95.9% |
Finland | 95.6% |
Germany | 95.5% |
Austria | 94.4% |
Netherlands | 92.9% |
Spain | 92.2% |
Source: Statista
Americans aged between 18 to 34 years old are most likely to engage with this popular messaging app with 31% of WhatsApp users aged between 18-34. Followed by the age group of 35 to 44 years with 27% in second place.
Here is a table showcasing WhatsApp users based on Age group:
Age Group | Percentage of Users |
18-34 years | 31% |
35-44 years | 27% |
45-64 years | 20% |
65+ | 11% |
Source: Statista
The Standalone WhatsApp Business app was launched in January 2018. This app was built on top of WhatsApp Messenger, especially for businesses, and included numerous features such as Multimedia, Free Calls, Free international messaging, offline messages, and more.
The main motive behind this app was to help small businesses and companies connect with their clients through WhatsApp using simple steps. Let’s take a look at some of the statistics and facts related to WhatsApp Business:
WhatsApp Web allows users to conveniently send and receive messages and documents from browsers by accessing the web version of WhatsApp. This way users can effortlessly control their account on their PC. Here are some of the interesting statistics about WhatsApp Web:
WhatsApp is one of the best instant messaging apps that allow users to send messages, images, videos, and audio, and etc to their friends and family rapidly. Not only is this messaging app excellent for personal use but also for professional use.
WhatsApp Business app allows companies or small businesses to connect with their customers and engage in conversations which can help enhance their sales and provide improved customer service. About 140 billion messages are exchanged on this platform every day and in the coming years, more and more users and businesses are likely to engage with this messaging app.
For a comprehensive overview of a rising star in the social media world, be sure to check out our detailed article on Threads Statistics.
Cyberbullying is harassment or bullying that takes place through digital services. Cyberbullying comprises offensive, hateful, degrading, and mean content, text, and messages shared to embarrass an individual. At times, the content or text shared by a bully can make someone feel threatened. Most of the cyberbullying instances take place on social media platforms such as Facebook, Instagram, Twitter, etc.
Over the years there has been a massive increase in cyberbullying cases across the world. 64% of young adults in the US have faced cyberbullying and have received nasty, intimidating, and threatening messages online. In this article, we are going to take a look at Cyberbullying statistics to understand its true impact, how crucial cyberbullying issues are, and how it impacts the life of an individual.
Today, cyberbullying is one of the major issues faced by people across the world. However, in some areas around the world, the knowledge and awareness regarding cyberbullying and online harassment are massively low.
There has been a massive increase in the percentage of students who have reported being a target of cyberbullying by 55% since 2015. Around 45.5% of students in middle school and high school have reported being cyberbullied at least once in their lifetime.
31% of US adults have reported to have witnessed offensive and inappropriate name-calling by people. While 26% of people have reported to have experienced purposeful embarrassment. Other severe harassment includes sustained harassment (11%), Stalking (11%), sexual harassment (11%), and threats (14%).
While there is no debate that cyberbullying is a concern in society it can impact an individual’s life both mentally and physically. According to research by Pew, 55% of people look at cyberbullying as a “major concern” while only 37% believe it’s a “minor issue.” Also, 7% of Americans think that cyberbullying isn’t an issue at all.
Facebook is one of the top social media platforms where cyberbullying is highly common. By contrast, 25% or less of the targets of cyberbullying have said they have been bullied on Twitter, Instagram, Snapchat, YouTube, and other platforms.
According to a poll by Ipsos with 20,000+ adults across 28 nations that shared an insight regarding the awareness among people about cyberbullying. This poll stated that 25% of the respondents haven’t heard about cyberbullying in their lifetime. Saudi Arabia was named the country with the least amount of awareness regarding cyberbullying with about 63% of people claiming they haven’t seen, read, or ever heard about cyberbullying.
Today Majority of cyberbullying and online harassment take place on social media platforms. A large section of online bullying takes place in the form of text messages and comments passed on to a user’s account. Facebook is the leading platform with 39% of cyberbullying instances taking place on this social media platform followed by YouTube with 29%. Below we have mentioned a table showcasing online platforms where users are likely to face cyberbullying:
Online Platform | Percentage of cyberbullying |
39% | |
YouTube | 29% |
22% | |
22% |
According to a survey by the Journal of School Violence, it was found cyberbullying and online harassment victims are more likely to have tried to attempt suicide in comparison to non-victims of online bullying. Apparently, online harassment perpetrators also have 1.5 times more chances of attempting suicide.
LGBTQ+ students are often one of the biggest targets of online bullies and according to Trevor Project, 29% of LGBTQ middle schoolers have tried to attempt suicide at least once as a result of excessive bullying.
According to a report by Ipsos, 51% of online harassment is done by classmates of the victim. According to a 2018 poll with more than 20,000 parents involved it was reported that 30% were children that the victim didn’t know.
Female teenagers are at greater risk when it comes to online harassment and cyberbullying. About 22.4% of females between the ages of 12 to 18 have been a victim of cyberbullying which took place through texts or online. Meanwhile, 7.6% of male students in the same age group have reported to face cyberbullying.
According to the Cyberbullying Research Center, there has been a massive increase in cyberbullying cases since 2015 by 55% which has tripled since 2007. A total of 45.5% of high school and middle school students have reported being a target of cyberbullying or online harassment at least once in their lives.
Cyberbullying and online harassment cases are increasing day by day. Due to this, there are various prevention methods taken by the government and social media platforms to stop cyberbullying. Below we have mentioned some of the statistics regarding cyberbullying prevention globally.
A large number of adults across the world believe that more efforts need to be taken in order to counter cyberbullying. The majority of sentiment is from Japan, where around 89% of adults believe that not enough measures are taken by anti-cyberbullying to stop and end cyberbullying among people.
In a survey done by ADL’s Online Hate and Harassment, it was stated that more than 4 in 10 respondents had claimed that many social media platforms had failed to take any crucial actions against online hate and physical threats. 14% claimed in 2021 the platform removed threatening content, down from 22% in 2020.
Facebook has taken essential measures against cyberbullying on the platform. In Quarter 1 of 2022, Facebook found and flagged 67% of the content under bullying and harassment. This is a massive jump by Facebook when it comes to taking action against offensive content as the platform found only 14% of content offending in 2020 before users did.
47% of US adults say that companions are doing a fair job in addressing cyberbullying. Meanwhile, 32% of the audience says online platforms are doing a “poor” job in addressing online bullying and harassment. On being asked what essential methods should be taken against cyberbullying, 51% of people claimed placing a permanent ban on online harassment is an effective method to address users.
There are only two states in the US Alaska and Wisconsin that don’t include any form of cyberbullying laws. 49 states contain laws requiring school districts to have formal policies and guidelines addressing the behavior, identification, and disciplinary responses of cyberbullying. 44 states in the US include criminal sanctions specifically for electronic harassment and cyberbullying.
81% of Americans believe that more laws and regulations should be added to hold cyberbullies accountable for their behavior towards a victim. Around 80% of the audience feel that police need to focus more on helping the cyberbullied victims. 76% of people feel that social media platforms should be held accountable for harmful and inappropriate actions against users.
Cyberbullying is currently one of the major issues faced by students and young adults around the world. With the growth of the internet and social media platforms, the risks of online harassment have also taken a huge rise among people. Even though there are a variety of anti-cyberbullying measures available, the risks of online harassment haven’t taken a drastic change. Therefore, it’s important for companies and other platforms to take essential measures against cyberbullying to ensure a safe platform use for everyone.
We tell you in which areas of education artificial intelligence is useful, what services already exist on the market, and how AI technologies help students with education.
Artificial intelligence and technology have already found their application in medicine, charity, ecology, and other socially significant areas. Education is among them. Here, neural networks help reduce the routine workload of teachers, make learning more personalized and fun for students, facilitate entry into new professions, and support students morally.
Often, students use artificial intelligence to write various types of papers. But this is not always a good idea, especially when working on such serious projects as a dissertation, for example. In such a case, it is better to seek help from special writing services by leaving a “write my dissertation on time” request. In this case, you will get a human-written paper that will pass both plagiarism and AI detection checks with ease.
We share an overview of the use of AI technologies in education with examples of working services and practices.
Learning is more productive when schoolchildren and students feel comfortable in a new environment and feel supported. Neural networks can also come to the rescue here. For example, students at Emory University (USA) developed a chatbot based on artificial intelligence, Emora, which can communicate on deep topics and help people with anxiety and depression. The first audience of this service is first-year students who need support when moving, changing their lifestyle, and adapting to a new team.
One example of the beneficial use of AI is its application in writing research papers and essays. There are programs that can analyze texts, highlight key phrases, and automatically generate new text based on this analysis. For example, programs such as Grammarly and Turnitin help students check their papers for spelling and grammatical errors, as well as plagiarism.
If you, as a student, have encountered difficulties in writing a research paper, term paper, or essay, do not despair: the AI technology market offers a number of software tools that are aimed at solving your problems. Here are some of them.
OpenAI’s ChatGPT platform is a free service that uses machine learning to generate text. The big advantage is that the service is free, which is very useful for the student’s personal budget.
Other software tools include Article Forge, Wordtune, and Jasper AI. These services offer paid services, but they have wider functionality. They can be useful for professionals and those who are willing to invest in the quality of their writing. For example, you can save money and spend it once a year to prepare high-quality coursework.
But if you’re looking for something more, an all-in-one solution, Ailaysa is worth a look. This service not only generates texts but also offers a number of additional features. In Ailaysa, you can manage projects on a Kanban board, hire freelance editors to tailor text for a specific audience, voice-over text, and transcribe audio into text. In addition, the service supports more than 100 languages and 50 file formats, making it an ideal tool for international projects.
But AI can be useful for more than just writing papers. Some universities are already using AI technologies to improve the educational process. For example, the University of Michigan has developed a system that analyzes students’ test responses and gives them personalized recommendations on areas in which they need to improve.
Rytr.me is an online platform for creating content based on artificial intelligence. With this tool, users can write texts for websites, blogs, social networks, and other purposes. Rytr.me uses deep learning and neural networks to generate unique and high-quality content. On the portal, you can select the type of content and set parameters for future text, such as topic, keywords, and style.
Such portals allow you not only to receive fresh texts for various purposes but also to practice writing them, which is especially attractive for students.
One of UNESCO’s requests—access to education for all—can be fulfilled by AI very successfully. We are talking about the opportunity to study for those people who have health problems.
Text-to-speech programs have long existed, for example, for visually impaired students. Dragon Anywhere was developed by Nuance Communications and allows users to create and edit documents on their mobile devices using voice input. Dragon Anywhere is powered by deep learning technology for high-accuracy speech recognition. It also comes with automatic text formatting features and can even add graphics and images to documents. The platform supports a few languages, including English, German, French, Italian and Spanish.
How far the introduction of artificial intelligence into the learning process will go is still an open question. Many people fear that AI will replace teachers and take over education. However, this is a very radical scenario.
In China, in one of the elementary schools, students should wear special hoops on their heads, to which sensors were connected that operated on the principle of EEG devices. Thanks to these sensors, the teacher receives information about how concentrated the student is on what is happening and whether they are distracted from their studies. The video about this experiment on YouTube has received more than three million views! However, this scenario worries many: people believe that such a system for monitoring students is more reminiscent of a prison rather than a school.
Indeed, hoops with sensors can malfunction. Moreover, the fact that their measurements actually reflect the student’s level of concentration has not yet been proven at all. Many schoolchildren complain that the device puts pressure on their heads and interferes with learning rather than helps.
Can AI be considered a reasonable choice for educational processes? Probably not. No AI scientist is interested in machines taking total control.
A much more attractive path is where AI is integrated into education and works “shoulder to shoulder” with humans, taking on routine tasks and allowing the teacher to concentrate on more important things. Teachers can allocate more time to live communication, creativity, and teamwork. It is precisely this application of AI that can take education to a qualitatively different level.
Artificial intelligence is increasingly being integrated into the educational process of most universities. This allows us to improve the quality of education, make it more personalized and effective, and prepare specialists capable of working with the latest technologies.
A large section of people globally works using their laptops or smartphones, which has significantly increased the screen time presence of most adults. It was reported that an average American has a screen time of 7 hours and 4 minutes per day. While the global average screen time is 6 hours and 58 minutes every day. So have you ever wondered how much time you spend on screen on a daily basis for work, entertainment, news, etc? In this article, we are going to take an in-depth look at the average screen time for adults by region, generation, activity, and more. So, let’s begin.
Talking about the distribution of screen time by generation it’s no surprise that Gen Z (people born between 1996 and 2010) have the highest average screen time with 7 hours 18 mins. Followed by Millennials (people born between 1981 to 1995) who have the second highest average screen time by 6 hours 42 mins.
Generation | Average Screen Time Spend |
Gen Z | 7 hours 18 mins |
Millennials | 6 hours 42 mins |
Gen X | 6 hours |
Baby Boomers | 2 hours 54 mins |
The Most popular internet activities that take majority of the screen time among different generations are as follows:
Based on recent records South Africa has the highest average screen time consumption with 10 hours 46 mins every day. Followed by the Philippines which records the second highest screen time with 10 hours and 27 minutes of screen time consumption.
Country | Average Screen Time |
South Africa | 10 hours 46 mins |
Philippines | 10 hours 27 mins |
Brazil | 10 hours 19 mins |
Colombia | 10 hours 3 mins |
Argentina | 9 hours 38 mins |
Malaysia | 9 hours 10 mins |
Thailand | 9 hours 6 mins |
Mexico | 8 hours 55 mins |
Indonesia | 8 hours 37 mins |
UAE | 8 hours 36 mins |
Taiwan | 8 hours 7 mins |
Saudi Arabia | 8 hours 5 mins |
Even though South Africa tops the chart for the highest average screen time by region it isn’t the country with the highest Mobile screen time. Instead, the Philippines has recorded the highest average mobile screen time with 5 hours 47 mins. Followed by Thailand which is second in the list at 5 hours 28 mins. Here is a table showcasing the top 5 countries with the highest average mobile screen time globally.
Country | Average Mobile Screen Time |
Philippines | 5 hours 47 mins |
Thailand | 5 hours 28 mins |
Brazil | 5 hours 25 mins |
South Africa | 5 hours 9 mins |
Colombia | 5 hours 9 mins |
The average screen time spent by users worldwide in 2023 is 6 hours and 37 minutes across different platforms and devices. Below we have mentioned a table showcasing the average screen time spent by users between the span of 10 years from 2013 to 2023. The following data was taken from Q3 of each year.
Year | Average Screen Time Usage |
2023 | 6 hrs 37 mins |
2022 | 6 hrs 28 mins |
2021 | 6 hrs 58 mins |
2020 | 6 hrs 54 mins |
2019 | 6 hrs 38 mins |
2018 | 6 hrs 48 mins |
2017 | 6 hrs 46 mins |
2016 | 6 hrs 29 mins |
2015 | 6hrs 20mins |
2014 | 6 hrs 23 mins |
2013 | 6 hrs 19 mins |
There are a variety of reasons that contribute to the overdoing of screen time by users. One of the top activities that consume the majority of screen time by Americans is watching television. About 34% of the screen time is consumed by TV, followed by Video Games which take up 16% of the screen time. Below we have mentioned a detailed table showcasing the total distribution of screen time among Americans:
Activity | Total screen time spend |
TV | 34% |
Video Games | 16% |
Movies | 14% |
Online Videos | 12% |
Social Media | 9% |
Other | 9% |
E-books | 6% |
A large number of people globally spend their time accessing the internet. Over the years there has been a massive spike in mobile internet traffic over time. Back in 2013, the share of internet traffic was only 17.02% but fast forward to 2023, the share of Internet traffic has taken a massive turn to 60.28%. Overall, the major growth in internet traffic took place in 2017.
Year | Share of Internet Traffic |
2013 | 17.02% |
2014 | 28.97% |
2015 | 37.24% |
2016 | 45.91% |
2017 | 54.09% |
2018 | 53.01% |
2019 | 52.26% |
2020 | 53.07% |
2021 | 56.53% |
2022 | 59.40% |
2023 | 60.28% |
Today, TikTok is one of the most widespread and highly utilized social media platforms globally where people tend to spend hours and hours watching fun and entertaining content. The day-to-day average screen time spent by people on TikTok is 45.8 min. The second spot is snatched by a popular video-streaming platform YouTube with 45.6 mins daily screen time.
Social Media Apps | Average daily screen time |
TikTok | 45.8 mins |
YouTube | 45.6 mins |
34.8 mins | |
Snapchat | 30.4 mins |
30.1 mins | |
30.1 mins | |
23.8 mins |
Let’s take a look at some of the drawbacks related to excessive screen time:
Limiting social media usage in the wider population with maximum usage to 30 minutes a day can be linked with reduced depression and can be helpful in improving overall well-being.
The Internet has had a significant impact on the growth of screen time among adults and teens around the world. Ever since the Covid-19 pandemic the digital world has definitely transformed the working spaces. On average an American spends about 7+ hours on their screen, while globally the average screen time among the people is 6 hours and 58 minutes on a daily basis accessing social media, streaming apps, performing searches, and more.
Cooking delicious meals at home has become easier than ever. Wonder how? Rise of free AI-based recipe generators. AI recipe generators powered by machine learning algorithms can now scan various blogs, online recipes, cookery blogs, and other online resources to provide customized recipes in seconds. All you need to do is enter the ingredients or cuisine you are craving, and the generator will list a range of recipes tailored to your needs.
This blog will list the top Free AI Recipe generators to help you get delicious home-cooked meals without extra effort.
Here is a list of top free AI recipe generators –
The AI Recipe generator by Softr is a straightforward, user-friendly platform that can use the power of AI to generate some fantastic recipes for you anytime. All you need to do is go to the website, sign up, and create an account to get a unique recipe. Once you have made the account, you must mention the available ingredients, and they will send you the special recipe by email.
Dishgen is an AI-based kitchen assistant known for generating unique recipes. Users need to enter ingredients, recipe ideas, and dietary preferences based on which the platform will generate recipe ideas. With the help of this tool, you can develop entirely new recipes. This powerful platform helps you cook better meals and reduce waste.
The best thing about mealpractice is it will give you recipes that align with your taste preferences and dietary requirements. If you want something vegan or gluten-free, mention that, and the tool will generate unlimited recipes for you to try out. With this tool, you can create weekly meal plans, save your favorite creations, and even list the ingredients you would need for the recipes right in one place.
BuzzFeed has this excellent AI-based recipe generator, which is so easy to use. It looks more like a quiz. All you need to do is answer each of their questions, and at the end, you will get the recipe generated. So, you need to specify which meal you are preparing, if you have any allergies, the number of servings, all the ingredients you have in hand, and finally, your name and click submit. Soon, the AI tool will develop a curated recipe per your input.
PlantJammer is another Free AI-based recipe generator where hundreds of recipes are preloaded. As soon as you open the website, you need to mention the ingredients, and it will give you a list of recipes based on the elements that you have selected. You can open up any recipe from the list and customize it. So, you will get a list of the ingredients as well. If anything is missing, you can swap it for another element you might have with you. You can finally see the recipe once you are done with your selections.
Supercook is the next free AI recipe generator on our list. This particular AI tool has a massive list of ingredients. You simply need to choose what you want, and it will generate recipes based on those ingredients. At the same time, you will get to see which ingredients you are missing from each recipe. If you want, you can add or remove elements further to generate new recipes per your preference.
Recipeland is a platform where you will get world cuisines all in one place. Be it of any cooking or any country, there isn’t anything that you won’t get on this platform. They already have tons of recipes listed out. You also get the opportunity to mark your favorite recipes, make a list of those you want to try and subscribe to their platform for more tips and tricks related to cooking.
Spoonacular is a recipe generator that you can use to save and organize recipes from any site. You will also get a free meal planner and meal tracker. You can even collect your favorite products. As soon as you enter all the ingredients, you will get a list of saved recipes which you can save.
The next recipe generator on my list is “MyFridgeFood”. You have to select the ingredients in the list, and accordingly, you will generate the recipe. Along with every recipe, you will see the cooking time and the ingredients needed. The platform has other options like contests, tips, and bookmarks.
Cookpad is an AI-based recipe generator that can make daily meal cooking fun. This platform lets you share recipes and build communities with like-minded people. The basic function of the platform is to give you recipes based on inputs like what is in your fridge, what cooking tools you have, and your preferences. You can discover what recipes are popular in the season and then try them out when you like. You will get the option to bookmark your favorite recipes. This particular platform is available both as a website and a mobile application.
The Edamam tool is an AI-based recipe generator. The AI tool has an extensive recipe database. You will get to see the most relevant recipes from the best recipes that are available on the web. Though this platform is very impactful. You can get the best recipes keeping in mind your taste preference, ingredients, diets, allergies, nutrition, taste, and techniques. However, this particular platform is a bit difficult to use. The website’s overall look is not very user-friendly, so it might be a little overwhelming for some users.
LetsFoodie is an entirely Free AI generator recipe tool where you need to enter different ingredients with or without mentioning the quantities, and it will generate a recipe just for you. The best thing about the platform is it is super easy to share these recipes with your friends or family through mail or other social media platforms. You can even go through various recipes which have already been listed on the website.
ChefGPT is your new personal chef. Enter your ingredients and let the app generate the most delicious recipes. No googling for easy recipes as you have all this at a click away. This platform has several categories like Masterchef, pantrychef, macroschef, and others. Each of these is an AI-based tool that gives you recipes based on specific criteria. For instance, the Masterchef is the one for those who want to upgrade their culinary skills, whereas Mealplanchef is the one that can help with meal planning.
FoodAI is the next AI-based recipe generator on our list. This is a straightforward and easy-to-use AI-based recipe generator platform. As soon as you enter a set of ingredients, you will see a list of recipes that can be made using one or many of these ingredients. They also have a paid version with some advanced features to avail.
CookAIfood is a recipe generator that you can use to generate some delicious recipes. This platform allows you to create, share, and discover AI-based recipes. Advanced tools let you make grocery lists, diet planners, and printable cookbooks, do meal planning, and monitor nutrition intake. All of this can be done using this basic platform. No doubt this is all in one platform, extremely user-friendly, and easy to navigate.
There are several benefits of using an AI recipe generator –
Although AI recipe generators have many advantages, users should be aware of the following limitations:
With the growth of AI-based tools, it is evident that AI recipe generators will grow more and more in the upcoming years. Future AI generators should be able to generate personalized choices based on dietary preferences and available ingredients. Integrating these with smart kitchen appliances and automating specific cooking processes might also be possible.
With further advancements in AI technologies and machine learning, these systems will be able to understand various culinary techniques. With time, AI recipe-based generators can develop into interactive cooking assistants that can guide with step-by-step voice commands.
AI recipe generators are useful in several ways and can hence change your life for the better. Here is what it can do for you –
Yes, you can use ChatGPT to generate food recipes. However, it might be a little tricky as you have to give the correct prompt to create the kind of recipe that you want. That depends a lot on your dietary preference, likes and dislikes, ingredients you have with you, and other stuff. ChatGPT works just like any other AI-based recipe generator.
The only difference is that for ChatGPT, you have to give complete and detailed instructions of what you have and what you expect as output. But, in the case of AI-based recipe generators, you only need to make a few selections or just answer a quiz to generate your recipe immediately.
Using AI-based recipe generators to get delicious recipes is undoubtedly a boon in several ways. It is going to make life easier. But you also need to remember that these tools are not always accurate or may not understand the sentiment involving tradition, custom, and taste associated with the dishes. So, in such cases, it is always better to have a second opinion before you try implementing it. As we have discussed, there are certain limitations, but if we remember them and use these tools, we are surely going to benefit in many ways.