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前几篇我们介绍了如何使用 SK + ollama 跟 LLM 进行基本的对话。如果只是对话的话其实不用什么 SK 也是可以的。今天让我们给 LLM 整点活，让它真的给我们干点啥。 What is Plugin? Plugins are a key component of Semantic Kernel. If you have already used plugins from ChatGPT or Copilot extensions in Microsoft 365, you’re already familiar with them. With plugins, you can encapsulate your existing APIs into a collection that can be used by an AI. This allows you to give your AI the ability to perform actions that it wouldn’t be able to do otherwise.
Behind the scenes, Semantic Kernel leverages function calling, a native feature of most of the latest LLMs to allow LLMs, to perform planning and to invoke your APIs. With function calling, LLMs can request (i.e., call) a particular function. Semantic Kernel then marshals the request to the appropriate function in your codebase and returns the results back to the LLM so the LLM can generate
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