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Hugging Face 推出 Ettin Reranker 重排模型家族：大幅提升 RAG 檢索精度與效率★ 80
Hugging Face Blog26 days agoReleaseIn building Retrieval-Augmented Generation (RAG) systems, accurately locating the most relevant information from a vast document collection has always been the…
使用 Sentence Transformers 訓練與微調稀疏嵌入模型 (Sparse Embedding Models)★ 75
Hugging Face Blog348 days agoTutorialThis technical blog post from Hugging Face provides a detailed guide on how to train and fine-tune "Sparse Embedding Models" using the Sentence Transformers…
使用 Sentence Transformers 訓練與微調 Reranker 重排模型教學★ 80
Hugging Face Blog445 days agoTutorialWhen building RAG (Retrieval-Augmented Generation) systems, relying solely on vector embeddings for semantic search is often not precise enough. To improve…