WhatsTheBigData

Gemini is the latest and most advanced AI model developed by Google. This AI model is capable of developing high-quality and accurate responses to users’ queries. The stand-out part about Gemini is that it is capable of understanding and working with different types of data effortlessly such as Images, texts, codes, videos, and even audio. 

In this article, we are going to take a look at Gemini API and learn how to set it up on your device. We have mentioned a step-by-step guide on how to access and use Gemini API for free by following simple methods. So, let’s begin. 

Introducing Gemini AI Models

Gemini is the latest AI model launched by Google in collaboration with Google Research and Google DeepMind. This model represents a crucial step forward in the AI world showcasing its advanced capabilities and features. It is built to be multimodal which means it can easily understand and work with numerous types of data such as text, images, code, audio, and videos. Gemini is considered the largest and most advanced AI model to be developed by Google. This AI model has been made available in three different sizes by Google for unmatched versatility.

1. Gemini Ultra: This size is the most capable model for large-scale and is capable of performing a wide range of complex tasks effortlessly. 
2. Gemini Pro: It is an excellent performing model with advanced features for a variety of texts and image reasoning tasks. 
3. Gemini Nano: This is a perfect model for on-device experiences which can enable offline use cases. This model is capable of leveraging device processing power at no cost.

How to Access and Use Gemini API for Free

You can use Gemini API for free by generating an API Key for yourself and accessing Deepnote. Below we have mentioned a step-by-step guide on how to access and use Gemini API for free:   

Setting up Gemini API

• The first step in the setup process of Gemini API is to generate an API Key by visiting this URL https://ai.google.dev/tutorials/setup
• After visiting the link, you have to click on “Get an API Key” 
• You will be navigated to another page where you have to click on “Create an API key in a new project”
• An API Key will be generated for you which you can copy and set as your environment variable. After this, we will be accessing Deepnote as it helps users easily set the key with the name “GEMINI_API_KEY”. You need to navigate to integration, scroll down, and then choose environment variables.

Once this is done, it’s time to install python API using PIP:

pip install -q -U google-generativeai

Next, you have to set the API Key on Google’s GenAI and begin the instance. 

import google.generativeai as genai

import os

gemini_api_key = os.environ[“GEMINI_API_KEY”]

genai.configure(api_key = gemini_api_key)

Using Gemini Pro

Once you have successfully set up the API Key, the process of creating content on the Gemini Pro model becomes quite simple and easy. You need to provide a prompt to the “generate_content” function and then display the output as Markdown. 

from IPython.display import Markdown

model = genai.GenerativeModel(‘gemini-pro’)

response = model.generate_content(“Who is the GOAT in the NBA?”)

Markdown(response.text) 

Another great capability of Gemini is that it can create numerous responses using a single prompt which is known as “Candidates.” Users can choose the most suitable ones for themselves.  

response.candidates

You can now ask the model to write down a simple game in Python using the below-mentioned prompt: 

response = model.generate_content(“Build a simple game in Python”)

Markdown(response.text)

The model will then instantly create a result for you. Unlike other large language models, begin to explain the code instead of writing it down. 

Configuring the Response

Users can efficiently customize their responses on the platform by utilizing a simple `generation_config` argument. The candidate count is limited to 1, adding the word “space” as a stop word, and then setting the max tokens along with the temperature.  

response = model.generate_content(

    ‘Write a short story about aliens.’,

    generation_config=genai.types.GenerationConfig(

        candidate_count=1,

        stop_sequences=[‘space’],

        max_output_tokens=200,

        temperature=0.7)

)

Markdown(response.text)

Now, you will witness the responses instantly stopping before the word “space.”

Streaming Response

For Streaming Response, users can utilize the `Stream` argument. This is quite similar to OpenAI APIs and Anthropic but more fast and quick. 

model = genai.GenerativeModel(‘gemini-pro’)

response = model.generate_content(“Write a Julia function for cleaning the data.”, stream=True)

for chunk in response:

    print(chunk.text)

Using Gemini Pro Vision

Here, we will load Masood Aslam’s image for testing the multimodality of Gemini Pro Vision. 

For this, we have to load the pictures to the `PIL` and then display it. 

import PIL.Image

img = PIL.Image.open(‘images/photo-1.jpg’)

img

Here we have a high-resolution image of Rua Augusta Arch.

After this, load the Gemini Pro Vision model and provide it with the photo. 

model = genai.GenerativeModel(‘gemini-pro-vision’)

response = model.generate_content(img)

Markdown(response.text)

Chat Conversations Session

Another excellent feature that you can enable is setting up the model to have a back-and-forth conversation session. By enabling this, the context and responses generated from the previous conversations will be remembered by the model. 

Here, we begin the conversation session with the model and ask them to assist in getting 

started with the Dota 2 game. 

model = genai.GenerativeModel(‘gemini-pro’)

chat = model.start_chat(history=[])

chat.send_message(“Can you please guide me on how to start playing Dota 2?”)

chat.history

You will witness the `chat` will begin saving the history and mode chat. 

Based on your preferences, you can also display it in the Markdown method which is mentioned below: 

for message in chat.history:

    display(Markdown(f’**{message.role}**: {message.parts[0].text}’))

Once done, you can move forward and ask a follow up question to the model: 

chat.send_message(“Which Dota 2 heroes should I start with?”)

for message in chat.history:

    display(Markdown(f’**{message.role}**: {message.parts[0].text}’))

Then, you can scroll down and witness the entire chat session with the model effortlessly. 

Using Embeddings

Recently, embedding models have gained more and more popularity among users due to their context-aware applications. The Gemini embedding-001 model provides excellent capabilities such as words, sentences, or complete documents to be represented as a dense vector that could encode semantic meaning. 

The vector representation makes it easy to compare the similarities between different pieces of text by comparing the corresponding embedding vectors. 

Users need to provide the content to `embed_content` and transform the text into embedding and that’s it. 

 output = genai.embed_content(

    model=”models/embedding-001″,

    content=”Can you direct me on how to begin accessing Dota 2?”,

    task_type=”retrieval_document”,

    title=”Embedding of Dota 2 question”)

print(output[’embedding’][0:10])

[0.060604308, -0.023885584, -0.007826327, -0.070592545, 0.021225851, 0.0432290

Users can also convert numerous chunks of text into embedding by simply passing out the strings list into the ‘content’ argument. 

output = genai.embed_content(

    model=”models/embedding-001″,

    content=[

        “Can you direct me on how to begin accessing Dota 2?”,

        “Which Dota 2 heroes should I start with?”,

    ],

    task_type=”retrieval_document”,

    title=”Embedding of Dota 2 question”)

for emb in output[’embedding’]:

    print(emb[:10])

[0.060604308, -0.023885584, -0.007826327, -0.070592545, 0.021225851, 0.043229062, 0.06876691, 0.049298503, 0.039964676, 0.08291664]

[0.04775657, -0.044990525, -0.014886052, -0.08473655, 0.04060122, 0.035374347,

Conclusion

Google’s latest AI model Gemini is definitely an excellent creation by the company considering its advanced features and capabilities. In this tutorial, we have discussed a step-by-step guide on how you can access and use Gemini API for free and generate useful responses instantly. In addition, we have also mentioned using Gemini Pro vision and using embedding. 

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.

12 Best Large Language Models ( LLMs ) in 2023

1. GPT-4

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.

2. GPT-3.5

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.

3. PaLM 2 ( Bison-001 )

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.

4. Claude v1

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.

5. Cohere

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.

6. Falcon

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:

1. Falcon does have the capability to be multilingual but falls short in terms of European languages.

7. LLaMA

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.

8. Guanaco-65B

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. 

9. Vicuna 33B

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.

10. MPT-30B

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.

11. 30B-Lazarus

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.

12. WizardLM

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.

Bonus: GPT4ALL

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.

Conclusion

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.

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.

How AI Technologies Help Students with Education

We share an overview of the use of AI technologies in education with examples of working services and practices.

Support and adaptation

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.

Papers writing

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.

Personalized recommendations

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.

Personal tutor

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.

Adaptive learning

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.

The future of artificial intelligence in Edtech

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.

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. 

Top Free AI Recipe Generators

Here is a list of top free AI recipe generators – 

1. AI Recipe Generator by Softr

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. 

2. Dishgen

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. 

3. Mealpractice

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. 

4. BuzzFeed

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. 

5. PlantJammer

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. 

6. SuperCook

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. 

7. RecipeLand

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. 

8. Spoonacular

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. 

9. MyFridgeFood

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. 

10. Cookpad

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. 

11. Edamam

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. 

12. LetsFoodie

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. 

13. ChefGPT

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. 

14. FoodAI

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. 

15. CookAIfood

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. 

The benefits of using an AI recipe generator

There are several benefits of using an AI recipe generator – 

1. Everyone has different dietary preferences and nutritional choices and might be allergic to certain foods. Such AI recipe generators can curate meals with these personal preferences in mind. 
2. We often get confused about what to cook. While at times it is monotonous, other times we are clueless. AI generators can help end such monotonous diets. 
3. Trying to figure out recipes can be time-consuming. It takes time to look for cookbooks and go through Google pages. Now, with AI, you get it right now—no need to search or look for it anywhere. 
4. Access to global cuisine is easier with these tools. Otherwise, coming up with international cuisine or recipes is usually challenging. 
5. Some AI generator platforms allow people to rate recipes and build communities to exchange ideas. 

AI recipe generators: Potential limitations

Although AI recipe generators have many advantages, users should be aware of the following limitations:

1. AI might suggest pairing or methods that do not align with traditional or expert culinary practices. One needs to keep this in mind. 
2. Any AI tool’s output is unmistakably dependent on the data sets used to train the algorithm. If it was trained based on a limited data set, it is possible that you won’t get the desired result.
3. Taste and smell are two important factors in cooking that AI fails to understand. As a result, it might not make the necessary adjustments. 
4. Cooking is considered an art involving a personal touch, which is impossible with any AI tool. 
5. AI might not be aware of the cultural significance and the traditional methods involved. As a result, it might not generate the correct output, keeping the history and culture of the place in mind.

The Future of AI Recipe Generators

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. 

How Can AI Recipe Generators Change Your Life?

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 – 

1. AI-based recipe generator can help generate personal recipes based on dietary needs and choices. 
2. Artificial Intelligence can save you a lot of time when looking for the best recipes. 
3. AI-based recipe generators can help you with creative recipe ideas, letting you experiment and try new things. 
4. If you have specific health goals, then a recipe generator can help curate recipes per your needs. 
5. AI-based generators can curate recipes based on your budget and promote sustainable food preservation. This could be a great way to avoid wasting food. 

Should you use ChatGPT to generate recipes for food?

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. 

Conclusion

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. 

AI Image Expander is an AI-powered tool that can extend images in any direction for a variety of social media platforms such as Instagram, YouTube, Twitter, and more. These AI Image AI-expanding tools help expand your image without stretching or losing the quality of the image. With AI Image expansion tools users can easily transform a landscape image into a portrait or a landscape image into a horizontal image. 

In this article, we are going to talk about how to expand an Image with an AI Image Expander and list down some of the best AI Image-expanding tools that you can use for image expansion.

Can you extend an image with AI?

Yes, you can extend an image with AI using AI Image Expanding tools. These tools help expand the original size of your image without stretching or decreasing its resolution, and make it suitable for your desired platform.

What is AI Image Expander

An AI Image Expander is a tool that utilizes Artificial Intelligence technology to expand or extend the size of your original image without stretching or losing its quality. With this tool, users can easily transform their portraits into landscape images and vice versa. An AI Image Expander is often used by people to resize an image for social media posts, generate a product image, and more to make every image fit your desired platform.  

How to Expand Image with AI Image Expander

AI Image Expander is an AI-powered tool through which you easily expand or extend your image in a few simple steps. To use an AI Image Expander, you need to follow the below-mentioned steps: 

• Choose a good AI Image expander such as Runway, Canva, Fotor, etc. 
• Sign in using your Google account
• Click on “AI Image Expander”
• Upload your image online 
• Adjust the size of your image by zooming in or zooming out 
• Click on “Generate” and the AI tool will instantly expand the size of your image without affecting the original image quality 

Which tools can be used to Expand Images with AI

AI image-expanding tools can be utilized for the expansion of images for different platforms and services without affecting the original quality of the image. Here are some of the best tools that can be used for expanding images with AI: 

1. Runway 

Runway is one of the leading AI image expansion tools that can seamlessly expand images by generating context-aware elements through descriptive text prompts. To use this platform, users need to start by uploading an image online or generating a new image using text prompts. Next, you have to move the generation frame to the area where you’d like to expand the image.

Users can also add a text prompt of what they would like to witness appear on the image and click on “Generate.” Runway will begin the image expansion process based on your requirements. Once your image is ready, you can easily download it using the icons available on the left-hand side. 

Key Features:

• Users can easily remove the background using Runway’s Magic tool. 
• You can utilize descriptive text prompts to generate context-aware elements. 
• It contains good customization and editing tools through which you can enhance your image and make it more appealing. 

Pricing: 

The monthly plan of Runway starts from $15. 

2. ExtendImage.AI

Just like the name suggests, Extend Image is an AI-powered platform that allows users to extend their images with Dalle and Stable Diffusion. This tool even allows users to create variations in their images preserving the depth. To use this tool, users need to simply upload their image online and zoom in or zoom out the image based on their preference and click on “Extend Image.”

Within a few seconds, the AI tool will begin processing your request and transform the size of your image. Users can also add a text prompt to specify any further changes they wish to see on their image. Overall, this tool is a good image-expanding platform that can be easily accessed by beginners and professionals thanks to its intuitive interface.  

Key Features:

• Users can easily expand their images using the zoom-in feature. 
• This tool provides a text prompt option through which users can describe their desired image. 
• You can set the number of images you want to generate.

Pricing:

Pro Plan	Plus Plan	Advanced Subscription	Enterprise Subscription
$14.99/month	$19.99/month	$49.99/month	$249.99/month

3. Canva 

Canva is an image-expanding tool that is capable of extending images in any direction with AI using Magic Expand on Canva Pro. With this tool, you can easily unlock a world of possibilities by expanding your images with AI. Canvas Magic Expand allows users to fix the awkward drawing, and transform your vertical shots into horizontal ones effortlessly. You can instantly fill in the rest of your images and create missing details that can easily blend into your image without affecting the original quality of your picture.

Canva’s AI picture-expanding tool can enrich your visual content with proper detail intact and quality. So, if you want to expand your image for social media or marketing campaigns Canva is the perfect tool for you.

How do you expand an image in Canva?

To expand an image in Canva, you need to follow the below-mentioned steps:

• Visit Canvas official site using this URL https://www.canva.com/features/ai-image-expander/ 
• Click on “Expand Image with AI” 
• Sign in using Google, Facebook, or email 
• Click on Upload from the left-sidebar and upload your file 
• Tap on the “Expand” option and select your desired image size 
• Within a few seconds Canva will expand your image based on your selected Image size

Key Features: 

• Extend your images without decreasing the quality. 
• Users can also add different filters to the image to make the picture more visually appealing. 
• Allow users to remove the background from your images. 

Pricing: 

Pro plan is available for $119.99 annually or $14.99 monthly. 

4. Fotor 

Fotor is another excellent platform that allows users to easily expand their original images by exploring infinite possibilities. You can expand beyond the image border with Fotor’s AI Image Extender and generate amazing elements from texts. To expand your images on Fotor, you need to start by signing up on the platform using your Google account. Next, click on the “Photo Editing Tools” option select “AI Image Extender” and choose Extend image with AI.

Drag or upload your image on Fotor and zoom in or zoom out your image. Once you are satisfied with the size of the image click on the “Generate” option. Within a few seconds Fotor will begin processing your request and extend your image. Users can further download the image by clicking on the “Download” option available in the right corner. 

Key Features: 

• This tool utilizes AI to generate amazing elements from text and expand images. 
• You can also expand the photo background with your imagination. 
• Fotor’s Magic Tool allows users to brush out various parts of images effortlessly and recreate their images. 

Pricing: 

The AI Expand beta all Pro and Pro+ users to expand an unlimited amount of images. Free users can extend up to 9 images per day for free.

Fotor Pro	Fotor Pro+
$3.33/month	$7.49/month

5. Kapwing

You can also resize or expand your images on Kapwing using its advanced AI Image extender tool. Easily extend your images and fill in all the empty spaces from your images using the AI Outpainting powered by OpenAI’s DALL-E. Transform your portraits into landscape images and vice versa using Kapwing while maintaining the context of your image. Not only does Kapwing help easily resize your images that can fit any social media platform but also ensures the quality of your image is properly maintained. The best part about this tool is that it doesn’t stretch or distort your image quality. With this tool you can access a wide range of aspect ratio presets to fit your image for any social media platform such as Instagram, YouTube, Reels, YouTube Shorts, and more. Users can also enhance their images now without any additional effort or adjusting any image settings. 

Key Features: 

• It contains an AI Outpainting tool powered by DALL-E, through which you can extend your images and fill in the blanks easily.
• A Variety of aspect ratio presets to fit your image to any form of social media platform. 
• Don’t lose the quality of your image. 
• Ready-to-use presets to resize from 9:16 to 4:5 without distortion or stretching of image quality.

Pricing: 

Free plan available. Premium plans are mentioned below: 

Pro Plan	Business Plan	Enterprise
$16/month	$50/month	Contact Sales

How do I expand an image in Dall E 2?

Here is a step-by-step process on how to expand an image in DALL-E 2:

• Upload your image online or create a new image using textual prompts. 
• Determine the size of the image based on your preference. 
• Specify the target size of your image. 
• Resize the image using various image editing software such as Photoshop or GIMP. 
• Once your image is resized, upscale it to enhance its quality, you can achieve this through tools such as Let’s Enhance or Topaz Gigapixel AI. 
• After your image has been upscaled, save your image in your device in PNG or TIFF for high-resolution. 

FAQ’s

Is there a free AI image extender?

Yes, there are a variety of free AI Image extenders available such as Kapwing, Phot.AI, Fotor, PicsArt, and more.

Can Midjourney extend an image?

Yes, Midjourney contains a “Zoom out” feature through which users can extend the image beyond its original boundaries without affecting the image’s original quality. 

How much does an AI image enlarger cost?

The cost of an AI Image enlarger depends on the tool you are using for example, if you are accessing Fotor the pro plan will cost you $3.33/month. While, if you are accessing Canva for image enlargement then it will cost you $14.99 monthly.

What is the best free AI image upscale online?

Some of the best free AI Image upscalers online are as follows: 

• Fotor 
• Pixelcut 
• Img2go 
• Aiseesoft
• Media.io
• Icons8