Replies: 6 comments 4 replies
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what are the similarites with langchain? Semantic Kernel seems more like their direct langchain competitor |
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i think this repo more like a new language ---- prompt language, but seems not complete
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In my opinion, Guidance is clear and more straightforward because of prompt language. You can control the output of LLMs, force them to follow your instructions. That's a big different. |
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In my view, Guidance and LangChain exhibit significant differences despite both interacting with large language models. Guidance is primarily geared towards streamlining the process of guiding LLMs during inference, simplifying interaction and control. On the other hand, LangChain prioritizes the construction of applications that leverage the composability of LLMs, focusing on building practical, usable solutions. |
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I liked guidance syntax using the handles. In Langchain you need to write code in the specific language that you are using (js, python, ...). It could be cool guidance could be called by langchain as an LLM or use guidance agent using langchain tools. |
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We talked about writing a detailed comparison here multiple times, but gave up on it. On the whole, we think |
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I skimmed the documentation and notebooks, and I found some similarities between guidance and langchain. Can you please explain the reasons one should use guidance over langchain? More importantly, some of the features (e.g., token healing) seem not to be available for GPT-4 (or closed-source models in general). Is that true?
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