Albero della conoscenza in ccfound?
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Maybe go the “LLM” approach??
As apparently all problems are just ChatGPT ^^ . Use some simple multilingual BERT embeddings, store titles as embedding and do quick similarity checks on faiss or other fast computations bring up some easy top searches. Bet there is at least 20 other ways to do it. Neat thing is that multilingual emebdings solves lanugae problem, and you could do some clustering every week or so on existing topic and see if new categories emerges ;)
Anyways good luck :)
Maybe go the “LLM” approach??
As apparently all problems are just ChatGPT ^^ . Use some simple multilingual BERT embeddings, store titles as embedding and do quick similarity checks on faiss or other fast computations bring up some easy top searches. Bet there is at least 20 other ways to do it. Neat thing is that multilingual emebdings solves lanugae problem, and you could do some clustering every week or so on existing topic and see if new categories emerges ;)
Anyways good luck :)
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Cool post. Personally, I feel like I've been bottled up. Wisdom, wisdom, and more wisdom. It all went by before the bull market. Big words at the beginning, and now - 'geographical diversification'. Maybe it was all about promoting their own characters as training creators.
Cool post. Personally, I feel like I've been bottled up. Wisdom, wisdom, and more wisdom. It all went by before the bull market. Big words at the beginning, and now - 'geographical diversification'. Maybe it was all about promoting their own characters as training creators.
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