AIHacker Noonabout 1 hour ago
LLM Embeddings Beat GLMs in Scarce Data
9 min read
LLM text embeddings improved car insurance claim frequency prediction over generalized linear models on French data, but only with scarce data. Christopher Blier-Wong and Derek Kusmenko's preprint found the advantage faded as data grew. The embeddings automatically captured risk factor interactions without hand-built terms.
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