Picture this: You’re working on a cool project: a new app, website, or game. You want a place where you can not only store your code but also collaborate with others, keep track of changes, and maybe even show off your work to potential employers or developers. That’s where GitHub comes in!
But it is not just limited to that.
Now, GitHub is democratizing access to advanced AI technology with the launch of GitHub Models. This initiative allows over 100 million developers on GitHub to test and experiment with industry-leading AI models, such as GPT-4o and Llama 3.1, without cost. This new feature positions every developer to become an AI engineer capable of directly leveraging state-of-the-art machine learning models within their development environment. In this article, we will talk about what it offers and how you can access GitHub Models.
Read on!
Thomas Dohmke, CEO of GitHub, emphasizes the vision behind this initiative: “We believe every developer can be an AI engineer with the right tools and training. GitHub Models makes it simple to experiment with and deploy AI models, bringing the power of generative AI to our users’ fingertips.”
GitHub’s latest offerings provide you access to cutting-edge AI models like Llama 3.1, GPT-4o, GPT-4o Mini, Phi-3, and more. These can be tested using a built-in playground, bringing AI-powered coding and seamless integration to your fingertips.
You can elevate your development process with advanced AI and groundbreaking solutions. You can also Boost productivity, explore AI experimentation, and embrace AI-driven development. With an array of developer tools and AI resources, GitHub empowers you to push the boundaries of software development like never before.
Let’s Try Out the Newest Model on GitHub Marketplace:
Browse the GitHub Marketplace: Visit the GitHub Marketplace to explore a collection of top AI models with entitlements attached to your GitHub account.
Select a Model: Choose a model to try, such as the GPT-4o mini, and if you can’t access it then, join the waiting list to get early pass.
Now, for a further understanding of how this works, watch the following video:
Interact with the Model: Use the playground to pass in an initial user prompt and interact with the model.
Adjust Parameters: Change the system prompt and experiment with parameters like temperature to control the randomness of the model’s responses.
Now, you can easily build an AI tutor for students with a single initial user prompt, create lessons, plan, and more.
Switch Models: Test how different models handle the same scenario. For instance, switch to Meta Llama 3.1 instruct and evaluate its response.
Navigate to Model Details Page: Find more information about the model on its details page. Review the README, Evaluation, and Transparency tabs to understand the model better.
Access Getting Started Instructions: Click the code button to access instructions.
Use GitHub Codespace: Create a pre-configured development environment using GitHub Codespace, which comes ready with SDKs and sample code.
Utilize Model API Calls: Make API calls using the entitlements from your GitHub account. Since the Codespace knows your identity, you don’t need to add an API key or sign up for additional services.
Update Samples: Update the streaming sample to use a different model, such as phi-3-mini-4k-instruct. Modify the prompt and continue experimenting.
Leverage GitHub CLI: Use the GitHub CLI to call AI models. For example, create questions for first-year computer science students to check their Git knowledge.
Combine CLI Commands: Combine other CLI commands with GitHub CLI, like summarizing the last ten commits of a repository using Phi-3 mini instruct.
Minimize Friction: GitHub Models helps minimize friction as you explore and experiment with AI models.
Join the waitlist for GitHub Models to start building AI-powered apps.
Following these steps, you can efficiently explore, test, and utilize AI models from the GitHub Marketplace to build and experiment with AI-powered applications. Once you get access to the GitHub model, start exploring it. Meanwhile, I will mention some features of the GitHub Model you must know about.
Also read: New to Git and GitHub? This Essential Beginners Guide is for you
Here are the features of the GitHub model:
From its inception, GitHub has been a cornerstone for developers, fostering a collaborative environment for building, customizing, and deploying software. With the advent of GitHub Models, the platform extends its reach into AI, enabling developers to integrate machine learning models seamlessly into their projects.
At the heart of GitHub Models is the interactive model playground. This feature allows users to explore a variety of AI models from leading providers such as Meta, Mistral, and Microsoft with just a few clicks. Whether you’re a student, hobbyist, or professional developer, the playground offers a space to test different prompts and model parameters, fostering a hands-on learning experience.
Each AI model has unique capabilities, performance metrics, and costs. GitHub Models provides tools to test and compare these models, helping developers find the best fit for their specific needs. For instance, Mistral models are known for their low latency, while GPT-4o excels in building multimodal applications that require real-time audio, vision, and text processing.
GitHub Models goes beyond mere experimentation by integrating with Codespaces, GitHub’s cloud-based development environment. This integration allows developers to prototype AI applications without the typical setup hassles. Sample code for various languages and frameworks is readily available, making bringing AI-driven features into your projects easier.
Once a prototype is ready, transitioning to production is straightforward. GitHub Models supports deployment via Azure AI, offering enterprise-grade security, data privacy, and global availability across over 25 Azure regions.
One notable application of GitHub Models is its inclusion in Harvard’s CS50 course, led by Professor David J. Malan. This incorporation will enable students to experiment with AI models more easily, providing a practical learning experience.
Also read: Introduction for Git and Github for Beginners
GitHub’s vision extends beyond just providing tools; it’s about creating a network of AI creators. With the rise of AI engineers, GitHub is poised to play a crucial role in the path towards artificial general intelligence (AGI). The platform’s emphasis on open-source collaboration and community-driven innovation is set to accelerate AI and software development breakthroughs.
As GitHub Models enters its limited public beta, developers worldwide are invited to sign up and start experimenting. This initiative is a step towards realizing AI’s potential in software development, making advanced AI tools accessible to a broader audience, and fostering a new generation of AI engineers.
For more information and to sign up for the beta, visit GitHub Models here.
Ans. Sign up at GitHub, create a new repository, and explore GitHub’s documentation to learn about repositories, branches, commits, and pull requests.
Ans. Fork a repository, make your changes, and submit a pull request. Use branches for collaboration and issues to track tasks.
Ans. GitHub Actions automate your development workflow, allowing you to build, test, and deploy code automatically based on events like pushes or pull requests.
Ans. Enable two-factor authentication, set up branch protection rules, use encrypted secrets, review access permissions regularly, and use Dependabot for dependency security.
Ans. GitHub Copilot is an AI-powered code completion tool that suggests code as you type, helping you write code faster and explore new APIs. Install the Copilot extension in supported IDEs to start using it.
Hi, I am Pankaj Singh Negi - Senior Content Editor | Passionate about storytelling and crafting compelling narratives that transform ideas into impactful content. I love reading about technology revolutionizing our lifestyle.
Lorem ipsum dolor sit amet, consectetur adipiscing elit,
