So I want to ask for advice on 2 related topics:
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If I have a corpus of many documents embedded in a vector store, how can I dynamically select (by metadata, for example) a subset of them and only perform retrieval on that subset for answer generation.
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I want LLaMa to be able to say I DO NOT KNOW if the context it retrieved cannot answer the question. This behavior is not stable yet from what I have seen.
Thank you so much!
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Use something like lmql, guidance or guiderails to get the model to say it doesn’t know. I’ve also had some success with the airoboros fine-tuned models, which have this behaviour defined in the dataset using a specific prompt.