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Dan Romero pfp
Dan Romero
@dwr.eth
Let's say you have a corpus of text β€” 10 million words β€” about a specific topic. 1. What's the best way to "train a model" on that text? 2. Is that even the right term? Or is it using an existing foundational model and then augmenting it? Fine-tuning it? Something else?
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Paul Dowman πŸ”΄βœ¨ pfp
Paul Dowman πŸ”΄βœ¨
@pauldowman.eth
RAG. https://github.blog/2024-04-04-what-is-retrieval-augmented-generation-and-what-does-it-do-for-generative-ai/
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