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Does fine tuning it on a set of docs in your “knowledge base” help for generalizing it so it can answer questions pertaining to new documents that come in (with a “similar” style/structure but with different content/fscts)?


Fine tuning on your documents will really help to answer questions in the style and tone of those documents, so in that way, yes it helps.

It would be possible to include some parts of the new documents in the prompt so you can answer questions about new facts in the style and tone of your old documents, which we feel is useful. We are also experimenting with adding Retrieval Augmented Generation alongside fine tuning to see if the results are better than either or.

disclaimer: I work on Helix


Is it En only or other languages would work?




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