使用開源模型大幅提升你的 OCR 工作流效率★ 80
Hugging Face Blog236 days agoTutorialTraditional OCR systems (such as Tesseract) often struggle with complex layouts, multi-column tables, handwriting, and mathematical formulas, while using…
Hugging Face 推出 RTEB：全新檢索評估標準，為 RAG 系統打造更真實的測試基準★ 80
Hugging Face Blog256 days agoReleaseAs Retrieval-Augmented Generation (RAG) becomes the dominant architecture for enterprises deploying large language models (LLMs), accurately evaluating the…
mmBERT：ModernBERT 邁向多語言時代，開源高效能多語言編碼器模型登場★ 78
Hugging Face Blog278 days agoReleaseIn today's era dominated by generative AI and large language models (LLMs), bidirectional encoder models (such as BERT and RoBERTa) still play an indispensable…
歡迎 EmbeddingGemma：Google 全新高效嵌入模型上線 Hugging Face★ 75
Hugging Face Blog283 days agoReleaseGoogle has recently launched a new open-source text embedding model called "EmbeddingGemma" on the Hugging Face platform. This model is built on the…
MCP for Research：如何將 AI 連接到學術研究工具★ 75
Hugging Face Blog300 days agoTutorialAs the use of AI in academic research becomes increasingly widespread, enabling large language models (LLMs) to access the latest scientific literature in real…
Hugging Face 推出 Parquet 內容定義分塊 (CDC)：優化大規模 AI 資料集去重與傳輸效率★ 75
Hugging Face Blog324 days agoRelease### What Is Parquet Content-Defined Chunking (CDC)? In the AI and machine learning field, dataset sizes are growing at a staggering pace. Datasets on the…
Ettin Suite：Hugging Face 推出最先進的成對編碼器與解碼器開源套件★ 75
Hugging Face Blog333 days agoReleaseHugging Face has officially launched the Ettin Suite, a brand-new state-of-the-art (SoTA) open-source model family of "Paired Encoders and Decoders." In…
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…
Cohere 正式加入 Hugging Face 推論提供商 (Inference Providers) 陣營 🔥★ 75
Hugging Face Blog424 days agoReleaseHugging Face's official blog announced that Cohere, the well-known enterprise AI research and development company, has officially joined Hugging Face's…
介紹 HELMET：全面評估長文本語言模型（Long-context LLMs）的新一代基準測試★ 80
Hugging Face Blog424 days agoRelease### Background and Pain Points: Moving Beyond the Overly Simple "Needle in a Haystack" Test In recent years, the context window length supported by large…
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…
使用 Sentence Transformers 訓練快 400 倍的靜態嵌入模型 (Static Embedding Models)★ 75
Hugging Face Blog515 days agoRelease### What Are Static Embeddings? In today's NLP landscape, Transformer-based embedding models (such as BERT and mE5) have become the mainstream, as they…
視覺文件檢索邁向多語言：Hugging Face 推出 VDR-2B-multilingual 模型★ 80
Hugging Face Blog520 days agoReleaseHugging Face has recently released a new Visual Document Retrieval (VDR) model — **VDR-2B-multilingual**. This technology marks a formal transition in document…
Next.js 官方文件推出 AI 增強搜尋功能，大幅提升開發者查閱效率
Vercel Changelog522 days agoNew ToolVercel announced on January 8, 2025 that it has officially integrated an "AI-enhanced search" feature into the official documentation for its popular React…
終於迎來 BERT 的繼承者：ModernBERT 正式發布★ 85
Hugging Face Blog542 days agoReleaseDespite the recent dominance of generative decoder models (such as GPT and Llama), encoder-only models (such as BERT) remain indispensable behind the scenes…
專家支援案例研究：利用 LLM-as-a-Judge 評估機制強化 Digital Green 的 RAG 農業問答應用★ 75
Hugging Face Blog594 days agoTutorialThis case study provides a detailed account of how non-profit organization Digital Green, with support from Hugging Face's Expert Support team, optimized its…
Vercel 如何利用 AI 轉型客戶支援，成功減少 31% 的客服工單★ 75
Vercel Changelog649 days agoOpinionIn this article, frontend deployment platform Vercel shares its firsthand experience using AI technology to address mounting customer support pressure — and…
XLSCOUT 推出專為專利與智慧財產權打造的嵌入模型 ParaEmbed 2.0，獲 Hugging Face 專家團隊技術支援
Hugging Face Blog719 days agoReleaseXLSCOUT, an intellectual property (IP) and patent analysis platform, has announced the launch of its next-generation patent-specific embedding model…
Vercel Ship 專家指南：開發者如何踏出 AI 應用的第一步★ 75
Vercel Changelog731 days agoTutorialThis article compiles hands-on advice from multiple AI experts at the Vercel Ship conference, aiming to provide a clear roadmap for frontend and full-stack…
Hugging Face 推出適用於 Amazon SageMaker 的 Embedding 容器，大幅提升向量生成效能★ 75
Hugging Face Blog737 days agoReleaseHugging Face has announced the launch of a new Hugging Face Embedding container (Deep Learning Container, DLC) designed specifically for Amazon SageMaker. This…
使用 Sentence Transformers 訓練與微調嵌入模型 (Embedding Models)★ 80
Hugging Face Blog747 days agoReleaseThe official Hugging Face blog introduces a major update to the Sentence Transformers library (v3.0), centered on the launch of the new…
7 個你今天就能為應用程式加入的 AI 功能★ 75
Vercel Changelog766 days agoTutorialVercel has released a practical guide explaining how developers can use its powerful Vercel AI SDK to quickly add AI capabilities to existing web applications…
使用 Intel Gaudi 2 與 Intel Xeon 建構高性價比的企業級 RAG 應用★ 70
Hugging Face Blog766 days agoTutorialAs enterprise demand for Retrieval-Augmented Generation (RAG) technology surges, how to maintain high performance while controlling hardware costs has become…
Hugging Face 推出二進位與純量嵌入向量量化技術：大幅提升檢索速度並降低成本★ 85
Hugging Face Blog814 days agoTutorialAs RAG (Retrieval-Augmented Generation) and semantic search have become widespread, the maintenance costs of vector databases — especially RAM overhead — have…
使用 🤗 Optimum Intel 與 fastRAG 在 CPU 上實現最佳化嵌入向量生成★ 70
Hugging Face Blog821 days agoTutorialWhen building Retrieval-Augmented Generation (RAG) systems, converting large volumes of text into embeddings (vectors) is an indispensable and computationally…
🪆 Matryoshka 嵌入模型（俄羅斯套娃嵌入）入門介紹★ 85
Hugging Face Blog842 days agoTutorialThis article provides an in-depth introduction to Matryoshka Representation Learning (MRL), also known as Matryoshka embedding models. Traditional embedding…
Hugging Face 推出「企業情境排行榜」：專為真實世界應用設計的 LLM 評測基準★ 75
Hugging Face Blog865 days agoReleaseHugging Face has partnered with Patronus AI — a startup focused on LLM evaluation and defense — to officially launch the **Enterprise Scenarios Leaderboard**…
Hugging Face 推出「幻覺排行榜」，開源量化評估大型語言模型的幻覺率★ 75
Hugging Face Blog867 days agoReleaseWhile large language models (LLMs) have demonstrated remarkable generative capabilities across many domains, "hallucination" — where a model confidently…
如何建立自己的 Hugging Face 排行榜：以 Vectara 幻覺排行榜為例的完整指南★ 75
Hugging Face Blog884 days agoTutorialIn the open-source AI community, the Hugging Face Open LLM Leaderboard serves as an important benchmark for evaluating model capabilities. However, many…
使用開源模型進行更快、更便宜的文字嵌入 (Text Embeddings)
Replicate Blog947 days agoTutorialThis technical blog post from Replicate provides a detailed introduction to using the open-source BGE (BAAI General Embedding) model for efficient, low-cost…