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No I got that I asked because wouldn’t embedding generated by fine tuned transformer based LLMs be more context aware? Idk much about the internals so apologies if this was a dumb thing to say

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embeddings come in handy to augment LLMs [0], but as you suspect, some try LLMs themselves as an outright embedding model with varying degrees of success: https://www.reddit.com/r/LocalLLaMA/comments/12y3stx/embeddi... / https://huggingface.co/spaces/mteb/leaderboard

[0] https://simonwillison.net/2023/Oct/23/embeddings/

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