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24min chapter
Fine-tuning vs RAG
Practical AI: Machine Learning, Data Science, LLM
Misconceptions and Challenges in Fine-tuning Language Models
The speaker addresses the misconceptions surrounding fine-tuning language models (LLMs), emphasizing that fine-tuning on personal emails doesn't enable the model to write like the user. They highlight the effectiveness of retrieval augmented generation (RAG) for generating responses and discuss scenarios where fine-tuning is useful. The speaker also cautions against the belief that fine-tuning is always necessary and reminds listeners of the data collection and cleaning challenges.
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Discover
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