SuspciousCarrot78@lemmy.world to Privacy@lemmy.ml · edit-23 months agoI made my LLM stop bullshitting. Nothing leaves your machine.codeberg.orgexternal-linkmessage-square44linkfedilinkarrow-up12arrow-down10file-textcross-posted to: [email protected][email protected]
arrow-up12arrow-down1external-linkI made my LLM stop bullshitting. Nothing leaves your machine.codeberg.orgSuspciousCarrot78@lemmy.world to Privacy@lemmy.ml · edit-23 months agomessage-square44linkfedilinkfile-textcross-posted to: [email protected][email protected]
minus-squarefubarx@lemmy.worldlinkfedilinkarrow-up0·4 months agoLooks interesting. Will give it a whirl on my home server. In this article, they talk about bringing up a local RAG system to let people run an LLM off a large document corpus: https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/ Wonder if this, connected to something like that, and wrapped in an easy end-user friendly script or UI could be a good combination for a local, domain-specific, grounded knowledge-base?
Looks interesting. Will give it a whirl on my home server.
In this article, they talk about bringing up a local RAG system to let people run an LLM off a large document corpus: https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/
Wonder if this, connected to something like that, and wrapped in an easy end-user friendly script or UI could be a good combination for a local, domain-specific, grounded knowledge-base?
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