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Project mention: Raft: Sailing Llama towards better domain-specific RAG | news.ycombinator.com | 2024-05-09Retrieval-Augmented Fine-Tuning is a really promising technique.
FTA:
> Tianjun and Shishir were looking to improve these deficiencies of RAG. They hypothesized that a student who studies the textbooks before the open-book exam would be more likely to perform better than a student who references the textbook only during the exam. Translating that back to LLMs, if a model “studied” the documents beforehand, could that improve its RAG performance?
Incidentally, the team who wrote the paper released some nice code to generate domain-specific fine-tuning datasets: https://github.com/ShishirPatil/gorilla/tree/main/raft
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