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Items tagged with: RAG
"[T]hink about training an #LLM as a student preparing for an exam. #RAG is like taking an open book exam. The LLM can access the relevant information using any retrieval mechanism, such as web browsing or database queries. Fine-tuning is like taking a closed-book exam. The LLM needs to memorize new knowledge during the fine-tuning process, & it answers questions based on its memory." https://thenewstack.io/improving-llm-output-by-combining-rag-and-fine-tuning/
Improving LLM Output by Combining RAG and Fine-Tuning - The New Stack
When designing a domain-specific enterprise-grade conversational Q&A system to answer customer questions, Conviva found an either/or approach isn’t sufficient.Junhwi Kim (The New Stack)
