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Join us for a demo showcasing how GitHub Models simplifies AI experimentation and deployment. We’ll explore the playground UI, highlight how to store and version prompts in repos, and compare outputs across multiple cutting-edge models. Experience firsthand how to use GitHub Models’ single API key approach, robust admin controls, and built-in evaluation features to supercharge your AI projects all within GitHub, seemlessly deploying with Azure AI Foundry as you scale up ready for production.
To learn more, please check out these resources:
* https://aka.ms/build25/plan/AAI_DevAppGitHubCop_Plan
* https://github.com/features/copilot?utm_campaign=msft_build_github_splash&utm_medium=site&utm_source=msft_build
* https://github.com/features/issues?utm_campaign=msft_build_github_splash&utm_medium=site&utm_source=msft_build
* https://github.com/enterprise?utm_campaign=msft_build_github_splash&utm_medium=site&utm_source=msft_build
* https://github.com/security/advanced-security?utm_campaign=msft_build_github_splash&utm_medium=site&utm_source=msft_build
* https://resources.github.com/learn/certifications/
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Kate Catlin
* Damian Brady
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
DEM500 | English (US) | Developer Tools & .NET
Related Sessions:
BRK107 — https://ignite.microsoft.com/sessions/BRK107?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
BRK108 — https://ignite.microsoft.com/sessions/BRK108?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
BRK113 — https://ignite.microsoft.com/sessions/BRK113?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
#MSBuild
Chapters:
0:00 – GitHub’s mission to empower developers
00:03:12 – Onboarding for models and usage demonstration
00:04:43 – Exploring File Views and System Messages
00:06:36 – Model Comparison for Application Suitability
00:06:56 – Creating Prompt Files for Selected Model
00:07:20 – Explanation of Use Case Variables
00:08:33 – Comparative Evaluation across Test Data Models
00:10:53 – Starting test with expected responses and Australian speech setting
00:11:15 – Test passed with various similarity percentages Read More Microsoft Developer
