tomaarsen
@tomaarsen
Sentence Transformers Lead, SetFit & NLTK maintainer
Machine Learning Engineer at 🤗 Hugging Face
加入 December 2023
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At 1400x cheaper, I know I'm sticking to embeddings (dense, sparse, multi-vector), plus hybrid (incl. bm25) and rerankers.
Perhaps I'd even use listwise cross-encoders, they seem interesting.
