Best Practices for Integrating GitHub Models

Best Practices for Integrating GitHub Models

1h 12mIntermediate2024-10-21

Authors

Noah Gift

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Pragmatic AI Labs

Pragmatic AI Labs

Course details

With the launch of GitHub Models, GitHub is enabling more than 100 million developers to become AI engineers and build with industry-leading AI models. This course with instructor Alfredo Deza provides best practices for using this new integration.

Learn solid approaches for working with GitHub's new generative AI service. Alfredo covers key strategies for integrating machine learning models into your projects efficiently. This course is aimed at developers looking to improve their GitHub Models workflow and enhance AI-driven projects, with topics including marketplace navigation, responsible AI implementation, resource management, and application development.

Skills covered

Version ControlGitHubSoftware Development ToolsSoftware DevelopmentOne-Off

Concepts

Introduction

  • Meet your instructor
  • About this course

Fundamentals of GitHub Models

  • Introduction
  • Understanding AI Models and current challenges
  • Navigating the GitHub models marketplace effectively
  • Applying playground techniques to GitHub models
  • Key features of responsible AI
  • Summary

Strategic Implementation of GitHub Models

  • Introduction
  • Effective management of rate limits
  • Scaling beyond the free tier
  • What is GitHub Codespaces
  • Management of Codespaces resources
  • Summary

Best Practices When Building an Application with GitHub Models

  • Introduction
  • Creating a personal access token
  • Setting up the development environment
  • Creating an HTTP API
  • Strategies for testing and validation
  • Summary
40,000 Toman