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A concise collection of runnable .NET sample apps that demonstrate practical integration with GitHub Models and Azure AI Foundry. includes clear setup steps, environment configuration, and token/security guidance—ideal for learning, prototyping, and extending AI-enabled .NET applications.
Optimize text embedding performance using Azure-native tools and models. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly.
A chat bot to talk to your multiple PDFs (vectorized via text embedding models) at once; provides grounded answers to your queries to the GPT-4o powered bot
A comprehensive guide for modernizing mainframe applications (IBM z/OS, Unisys, GCOS, ACOS) using Azure AI Foundry with GitHub and Azure DevOps, preserving existing investments while enabling modern DevOps and AI capabilities.
Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.