this post was submitted on 10 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Was diving deeper into local LLM tinkering and I wanted to understand: when would I want to fine tune vs. use context? What use cases would either cater to? Sorry if this is a bit basic, but still learning the ropes in terms of LLM tinkering and got confused between the two. An answer to this will really help me focus on learning the right thing. Thanks.

If it helps, I currently want my LLM to “understand” some essays/blog entries then spit back summaries/comparisons between them.

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[–] Noxusequal@alien.top 1 points 10 months ago

iam looking to do something similar using RAG piplines might be usefull as far as i understand to give the model extra context about the sides you want to summarize.

https://agi-sphere.com/retrieval-augmented-generation-llama2/

maybe you already know all this but i am also new and just recently stumbled upon this :)