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"preferably where the training data doesn’t include the latest API"

That is the reason LLM's in their current shape are pretty useless to me for most tasks.

They happily mix different versions of popular frameworks, so I have to do so much manual work to fix it, I rather do all by myself then.

Pure (common) math problems, or other domains where the tech did not change so much, like bash scripts or regex are where I can use them. But my actual code? Not really. The LLM would need to be trained only on the API version I use and that is not a thing yet, as far as I am aware.



Have you tried RAG on the docs?


Not yet, I can imagine it can improve things, but was too sceptical that it is worth the effort. Have you had good succes with it?




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