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23min chapter
Fine-tuning vs RAG (Practical AI #238)
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Misconceptions about Fine-tuning in Language Models
The speakers discuss misconceptions surrounding the fine-tuning process in language models (LLMs). They clarify that fine-tuning does not necessarily lead to better understanding in LLMs, unlike diffusion models. They also highlight the limitations of fine-tuning and emphasize the challenges of collecting and cleaning data.
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