使用 Hugging Face Inference Endpoints 輕鬆部署高效能嵌入模型★ 75
Hugging Face Blog964 days agoReleaseAs large language models (LLMs) and Retrieval-Augmented Generation (RAG) technology become increasingly widespread, embedding models have become an…
如何使用 ChromaDB 與 Mistral 實現檢索增強生成 (RAG)
Replicate Blog971 days agoTutorialThis technical blog post from Replicate provides a detailed walkthrough of how to build a basic Retrieval-Augmented Generation (RAG) application from scratch…
MTEB：海量文字嵌入基準測試（Massive Text Embedding Benchmark）正式推出★ 85
Hugging Face Blog1,334 days agoReleaseIn the field of natural language processing (NLP), text embeddings — the technique of converting text into real-valued vectors — are a foundational technology…
如何訓練與微調 Sentence Transformers 模型：Hugging Face 官方實戰指南★ 75
Hugging Face Blog1,404 days agoTutorialThis is a practical guide authored by Hugging Face, aimed at teaching developers how to train and fine-tune Sentence Transformers models to generate…
Hugging Face 向量嵌入（Embeddings）入門指南★ 75
Hugging Face Blog1,452 days agoTutorialThis classic blog post from Hugging Face is an essential introductory guide for understanding vector embeddings — the foundational technology underlying modern…
Hugging Face 釋出：如何用 10 億個訓練對訓練句子嵌入（Sentence Embedding）模型★ 75
Hugging Face Blog1,693 days agoTutorialThis classic Hugging Face blog post (co-authored by Sentence-Transformers creator Nils Reimers and others) provides a detailed account of how to train…
使用 Hugging Face Transformers 與 Ray 實現大規模檢索增強生成 (RAG)
Hugging Face Blog1,950 days agoTutorialRetrieval-Augmented Generation (RAG) is a powerful architecture that combines a "retriever" with a "generator." It enables language models to dynamically…