Developers Turn into AI Engineers with GitHub Models
GitHub is into dropshipping API calls too…
At a Glance
Microsoft-owned GitHub has soft launched a new platform aimed at helping over 100 million developers "become AI engineers." The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work, and CEO Thomas Dohmke says he wants developers to build AI applications right where they manage code.
Deeper Learning
GitHub Models Platform: The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work. This includes pre-trained models, evaluation frameworks, and extensive documentation to guide developers through the process of building and deploying AI solutions. The main idea is to let developers "test run" large language models on a switchboard by testing them through prompting and parameter tuning.
Comprehensive Resources: GitHub’s new interactive model playground allows students, hobbyists, startups, and more to explore popular private and open AI models from Meta, Mistral, Azure OpenAI Service, Microsoft, and others. Users can experiment, compare, test, and deploy AI applications to Microsoft Azure directly within their source code management environment.
Integration with GitHub: GitHub Models is designed to work seamlessly with the existing GitHub ecosystem. Developers can easily access the platform through their GitHub accounts and spin up Codespaces, making it simple to integrate AI tools into their existing workflows and projects. For example, if you are trying to test many different models that require different authentication and API Keys, you can simply rely on your personal GitHub entitlements, which stores all of that information for you automatically.
So What?
GitHub’s preliminary launch of its Models platform represents a significant step towards quick AI application builds, iterations, and deployments in the software development lifecycle. This is a huge problem many companies are looking to solve, and a native integration with GitHub and Azure can help applications get into production much faster.
References
Share this post!
Developers Turn into AI Engineers with GitHub Models
GitHub is into dropshipping API calls too…
At a Glance
Microsoft-owned GitHub has soft launched a new platform aimed at helping over 100 million developers "become AI engineers." The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work, and CEO Thomas Dohmke says he wants developers to build AI applications right where they manage code.
Deeper Learning
GitHub Models Platform: The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work. This includes pre-trained models, evaluation frameworks, and extensive documentation to guide developers through the process of building and deploying AI solutions. The main idea is to let developers "test run" large language models on a switchboard by testing them through prompting and parameter tuning.
Comprehensive Resources: GitHub’s new interactive model playground allows students, hobbyists, startups, and more to explore popular private and open AI models from Meta, Mistral, Azure OpenAI Service, Microsoft, and others. Users can experiment, compare, test, and deploy AI applications to Microsoft Azure directly within their source code management environment.
Integration with GitHub: GitHub Models is designed to work seamlessly with the existing GitHub ecosystem. Developers can easily access the platform through their GitHub accounts and spin up Codespaces, making it simple to integrate AI tools into their existing workflows and projects. For example, if you are trying to test many different models that require different authentication and API Keys, you can simply rely on your personal GitHub entitlements, which stores all of that information for you automatically.
So What?
GitHub’s preliminary launch of its Models platform represents a significant step towards quick AI application builds, iterations, and deployments in the software development lifecycle. This is a huge problem many companies are looking to solve, and a native integration with GitHub and Azure can help applications get into production much faster.
References
Share this post!
Developers Turn into AI Engineers with GitHub Models
GitHub is into dropshipping API calls too…
At a Glance
Microsoft-owned GitHub has soft launched a new platform aimed at helping over 100 million developers "become AI engineers." The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work, and CEO Thomas Dohmke says he wants developers to build AI applications right where they manage code.
Deeper Learning
GitHub Models Platform: The new platform, GitHub Models, provides tools and resources to help developers incorporate AI into their work. This includes pre-trained models, evaluation frameworks, and extensive documentation to guide developers through the process of building and deploying AI solutions. The main idea is to let developers "test run" large language models on a switchboard by testing them through prompting and parameter tuning.
Comprehensive Resources: GitHub’s new interactive model playground allows students, hobbyists, startups, and more to explore popular private and open AI models from Meta, Mistral, Azure OpenAI Service, Microsoft, and others. Users can experiment, compare, test, and deploy AI applications to Microsoft Azure directly within their source code management environment.
Integration with GitHub: GitHub Models is designed to work seamlessly with the existing GitHub ecosystem. Developers can easily access the platform through their GitHub accounts and spin up Codespaces, making it simple to integrate AI tools into their existing workflows and projects. For example, if you are trying to test many different models that require different authentication and API Keys, you can simply rely on your personal GitHub entitlements, which stores all of that information for you automatically.
So What?
GitHub’s preliminary launch of its Models platform represents a significant step towards quick AI application builds, iterations, and deployments in the software development lifecycle. This is a huge problem many companies are looking to solve, and a native integration with GitHub and Azure can help applications get into production much faster.
References
Share this post!
