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With LLMs it is now quite easy to generate docs as needed. In fact we built a service to do just that - https://docs.codes/

Here is an example of how it is very useful especially for newer libraries.

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You need good source material, including docs, to have LLMs generate docs that are accurate, reliable, and safe. LLMs have interesting applications in areas like SDK and API docs, for sure, but can't replace an entire function.

Correct but this is a good starting point for code that is written after the cut off of language models training data as you cannot otherwise debate accurate code form then for the newer versions of the library.

Just realised that I missed adding the link to the example - https://github.com/unclecode/crawl4ai/issues/126

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