How to integrate the Microsoft Semantic Kernel plugin into the AutoGen framework
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AutoGen : AutoGen offers a multi-agent conversation framework as a high-level abstraction, serving as an open-source library designed for next-generation LLM applications. It supports multi-agent collaboration, teachability, and personalization, allowing users to create customized LLM workflows with ease.
Microsoft semantic Kernel plugin : The Microsoft Semantic Kernel is a powerful tool that allows developers to integrate AI capabilities into their applications using plugins. These plugins encapsulate existing APIs and functions, enabling AI models to perform actions they wouldn’t be able to do otherwise.
Key Features of Semantic Kernel Plugins:
Function Calling: Plugins leverage function calling, a feature of the latest large language models (LLMs), to request specific functions. This allows the AI to perform tasks by calling functions in your codebase.
Modular and Extensible: You can create your own plugins or use those provided by the SDK. This modularity ensures that you can easily integrate AI services with your existing code.
Enterprise Ready: Semantic Kernel is designed for enterprise use, with support for C#, Python, and Java. It includes features like telemetry support and dependency injection, making it suitable for large-scale applications.