使用 Sentence Transformers 訓練快 400 倍的靜態嵌入模型 (Static Embedding Models)

Original: Train 400x faster Static Embedding Models with Sentence Transformers

### What Are Static Embeddings? In today's NLP landscape, Transformer-based embedding models (such as BERT and mE5) have become the…

Hugging Face 宣布 Sentence Transformers 支援訓練「靜態嵌入（Static Embeddings）」模型。相較於傳統 Transformer 模型，靜態嵌入不需逐層計算，訓練速度快上 400 倍，且推理速度極快、記憶體佔用極小。這項技術非常適合用於資源受限的設備（如手機、邊緣裝置）或作為大規模檢索（RAG）的第一階段粗篩。

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