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Updated 10 months ago

Exploring Embeddings and Large Language Models

What combo of embeddings + LLMs are you looking at?
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I'm looking at text embeddings.

Not so keen about LLMs or having a use case at hand per se, but just curious if 1 provider responded vectors are actually helpful (to do things like search or similarity) with another provider's models.

(My understanding of this might be a little skewed, I'm just learning on the go)
Absolutely, you can do this. This is the underpinning of most RAG apps πŸ˜„ Where folks use different combos of embedding models + LLMs sometimes both fine-tuned to their needs.
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