If you're "searing" specific documents and incidents, would it make more sense to use either vector search or a retrieval (RAG) model to pull from these sources, instead of generating new text? Even if you have a lot of data it may be difficult to fine-tune LLaMa to generate reliable responses.
this post was submitted on 29 Oct 2023
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It seems like a bad reason to use it. It would probably be better to just do a more “normal” type of search rather than trying to hit the problem over the head a more complex model. Occam’s Razor and all.
If you have something "enterprise-level", then pay some actually good ML consulting company, or high end ML-focused software house, to do this for you. If you don't have money for that, you most probably don't have enterprise data and you just need to learn, not ask general question on Reddit.