Add Foundry local samples #170
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DETAILS - Updated `Microsoft.SemanticKernel` package from 1.54.0 to 1.55.0 in multiple project files. - Added new project files for `AIFoundryLocal-01-SK-Chat` and `AIFoundryLocal-02-MEAI-Chat`. - Created `DockerModels-01-Chat.csproj` with necessary SDK and package references. - Introduced `Program.cs` files for new projects to implement OpenAI chat capabilities. - Updated solution file `CoreGenerativeAITechniques.sln` to include new projects and configurations. - Enhanced `readme.md` with new features and instructions for running local models using AI Toolkit and Docker.
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👋 Thanks for contributing @elbruno! We will review the pull request and get back to you soon. |
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This pull request introduces significant updates to the "Core Generative AI Techniques" module, focusing on expanding support for running AI models locally, enhancing project configurations, and updating dependencies. The most notable changes include adding support for Foundry Local as a local model runner, renaming and restructuring files for clarity, and upgrading
Microsoft.SemanticKernelto version 1.55.0 across multiple projects.New Features and Enhancements
Support for Foundry Local:
06-LocalModelRunners.md, detailing how to run AI models locally using AI Toolkit, Docker, and Foundry Local. This includes benefits, setup instructions, and sample code for each approach.AIFoundryLocal-01-SK-Chat: Uses Semantic Kernel to interact with Foundry Local models. [1] [2]AIFoundryLocal-02-MEAI-Chat: Uses Microsoft Extensions for AI to interact with Foundry Local models. [1] [2]Documentation Updates:
05-ImageGenerationOpenAI.mdandreadme.mdto include Foundry Local. [1] [2]Codebase Improvements
Project Restructuring:
DockerModels-01-ChattoDockerModels-01-SK-Chatfor consistency with naming conventions. [1] [2]Dependency Upgrades:
Microsoft.SemanticKernelto version 1.55.0 in the following projects:AIToolkit-01-SK-ChatBasicChat-02SKBasicChat-04OllamaSKDockerModels-01-SK-ChatSolution File Updates:
CoreGenerativeAITechniques.sln) and updated build configurations accordingly. [1] [2] [3]These changes collectively enhance the module's flexibility for running AI models locally and improve the organization and maintainability of the codebase.