전문 LLM을 만드는 4 가지 접근법
Trying to create a language model that understands your own custom data? Here are four techniques you can use to create a specialized LLM, ordered in terms of the amount of complexity/compute involved.
TL;DR: When trying to solve problems with language models, we should start simple and only introduce complexity as needed. Along these lines, we can just try to prompt the model first, then try a RAG approachfinetune
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