GitHub Models: Prototyping with AI Models (2024)
28mGeneral2024-08-13
Authors
Morten Rand-Hendriksen
Senior Staff Instructor, Speaker, Web Designer, and Software Developer
Course details
In this course, Senior Staff Instructor Morten Rand-Hendriksen guides you through testing large and small language models (LLMs and SLMs) using the GitHub Models playground and how to seamlessly integrate AI models in Codespaces and your local dev environment. Using GitHub Models you have quick and easy developer access to advanced AI functionality to prototype, experiment, and develop AI apps for publishing on Microsoft Azure and other services.
Learning objectives
Analyze GitHub Models and how to use them.
Explore the GitHub Models playground and how to test different AI models.
Build Codespaces with GitHub Models integration for rapid AI development.
Develop advanced AI applications powered by GitHub Models.
Learning objectives
Analyze GitHub Models and how to use them.
Explore the GitHub Models playground and how to test different AI models.
Build Codespaces with GitHub Models integration for rapid AI development.
Develop advanced AI applications powered by GitHub Models.
Skills covered
Version ControlGitHubArtificial Intelligence FoundationsSoftware Development ToolsArtificial Intelligence (AI)Software DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Many models in one place
1. Working with GitHub Models
- 02 - What is GitHub Models
- 03 - Getting on the waitlist
- 04 - Using the GitHub Models playground
- 05 - Rate limits and tiers
- 06 - Exploring the GitHub Models codespace
- 07 - Using GitHub Models in code
- 08 - Mixing and matching AI models in a project
2. Conclusion
- 09 - Looking to the future