Re:Introduction to Vector Similarity Search
by naraga on Wednesday July 12, 2023 @07:00AM
(#36692758)
oh boy, this looks like an alchemy to me. on one hand one cant deny success of llm's on another we are shifting the responsibiliteis to non-deterministic fuzzy duck-taped functions.
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Re:Introduction to Vector Similarity Search
by weinzierl on Wednesday July 12, 2023 @07:32AM
(#36693008)
My impression is similar and that's why I asked the question. Another thing that is not clear to me: Is there query directly fed into e.g. SBERT or should I ask an LLM to transform the query into something more suitable, like turning the question into a proposition?
Re:Introduction to Vector Similarity Search
by og_kalu on Wednesday July 12, 2023 @06:31PM
(#36702570)
>Another thing that is not clear to me: Is there query directly fed into e.g. SBERT or should I ask an LLM to transform the query into something more suitable, like turning the question into a proposition?
This not how 99% of embedding models work(though you can train for specific tasks) but as it turns out such a thing is possible and is beneficial.
Instruct tuned embedding model here - https://instructor-embedding.github.io/
This kind of thing is going to seem so obvious in hindsight in six months once all the sota methods start converge upon similar improvements lol. It’s still so early, I keep telling myself.