GitHub Models: Test and Compare AI Code Models
Microsoft Developer’s Damian Brady presents GitHub Models, showing developers how to systematically test and compare 40+ AI models for code generation and developer productivity.
What is GitHub Models?
| Presented by Damian Brady | Microsoft Developer |
GitHub Models is a platform that empowers developers to evaluate, compare, and select from over 40 AI models specifically for code-related tasks. Rather than guessing which model might fit your coding needs, you can test them against your own prompts—and see which one gives the best results.
Key Features
- Model Comparison: Easily compare responses from more than 40 AI models side-by-side.
- Prompt Evaluation: Test your own prompts to see which model provides the most relevant or useful output for your development workflow.
- Time Savings: Eliminate the trial-and-error guesswork of picking an AI model for code generation, completion, or refactoring.
How It Works
- Pick a Task – Decide what you want to accomplish (e.g., code completion, code generation, answering a code question).
- Enter Your Prompt – Provide a sample coding prompt or scenario for the models to tackle.
- Evaluate Responses – Review how each model performs on your prompt.
With GitHub Models, you directly see which large language models excel (or struggle) in your scenario—whether you’re working in Python, C#, JavaScript, or other languages.
Why Use GitHub Models?
- Avoids making blind decisions about which model to integrate.
- Empowers data-driven selection for AI-powered development tools.
- Opens the door to customized coding workflows powered by the best available AI models.
Learn More
For more details, visit: GitHub Models