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I've been trying to do this with just word2vec, instead of throwing an LLM, since you just need to find a word with the appropriate distances optimized. https://github.com/captn3m0/ideas?tab=readme-ov-file#codenam...


I did that last summer, I compared the performance of different english word embedding models, as far as I remember the best ones were GloVe and a few knowledge graph word embeddings.

None of them were better than a human at giving hints for 3+ words though


I tried this many years ago (before LLMs) with hundreds of real human games and it was never that good.


I love this.

Imagine the energy savings if more people didn’t just automatically reach for LLMs for their pet projects.




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