are there any good resources out there on leveraging llama/llama-2 for embeddings and recommendation systems?

there's a huggingface embedding leaderboard, may not have been focused on llama for performance reasons - https://huggingface.co/spaces/mteb/leaderboard
might be able to tune llama(2) for recommendation systems using something like this:

there's a huggingface embedding leaderboard, may not have been focused on llama for performance reasons - https://huggingface.co/spaces/mteb/leaderboard
might be able to tune llama(2) for recommendation systems using something like this: https://github.com/SAI990323/TALLRec

𝖒𝖆𝖓𝖉𝖆𝖙𝖚𝖒 𝖆𝖉 𝖆𝖘𝖙𝖗𝖆