与「Transformers」相关的搜索结果

这个精简 OCR 模型，能一次性处理完整 100 页 PDF。 它叫 Unlimited OCR，只有 3B 参数，完全跑在本地硬件上。 大多数 OCR 工具会把文档拆成单页，丢失整体上下文。这个模型用连续方式一次读完整个文档。 单次长程解析，32K 上下文窗口 默认支持多语言 标准解析基准上准确率 93%，比基线高 6 个点 超过 40 页后错误率仍低于 0.11 完全离线运行，不依赖云端 兼容 Transformers、vLLM、SGLang、Docker、Ollama 和 llama.cpp 传统云 OCR 服务如 Textract、Google Vision、Azure Document Intelligence，每 1000 页通常收费 $1.50 到 $15。 这个模型跑在你自己的硬件上，用多久都不花钱。 百度开发它就是为了超越 DeepSeek OCR。Hugging Face 上已有 190 万下载，但大部分用户还不知道。 100% 开源。

Neil Movva (@neilmovva) started his career at Nvidia, working on GPUs and kernels, and has an unusually deep understanding of inference, from software to chips to power. We spend a lot of time on each of those layers, how they connect, and where the important tradeoffs are. What makes this conversation special is how detailed it is (like a 401-level class), yet Neil makes it remarkably clear and easy to follow. Today he runs Sail Research, a company building infrastructure for agents to make tokens as cheap as possible. We discuss: - Latency versus throughput - Why there are no bad chips, only bad pricing - The end of kernel engineering - Buying chips and power no one else wants - New chip architectures - Nvidia lore + his contrarian view of the company - Open source and the frontier labs I learned a ton. Enjoy! TIMESTAMPS 0:00 Intro 0:38 Building a “Token Factory” 4:21 The Future of Background Agents 13:09 Nvidia and the GPU Stack 23:27 Chips, Memory, and Transformers 36:14 The Future of AI Training Data 44:32 Chip Scarcity and Compute Arbitrage 52:44 Reinventing the AI Data Center 59:01 Power and the “Scavenger Strategy” 1:10:10 Open vs. Closed AI

Scott Gray leaves OpenAI. He joined the company in 2016 and helped build the GPU infrastructure behind its earliest breakthroughs, from sparse transformers and scaling laws to GPT‑3. His exit comes as at least 12 senior leaders have already left OpenAI in 2026. OpenAI’s 2026 departures so far: • Scott Gray - longtime GPU systems engineer • Denise Dresser - Chief Revenue Officer • Brad Lightcap - former COO • Fidji Simo - CEO of Applications • Kevin Weil - Head of OpenAI for Science • Bill Peebles - Head of Sora • Srinivas Narayanan - CTO of B2B Applications • Kate Rouch - Chief Marketing Officer • Barret Zoph - Enterprise Sales lead • Johannes Heidecke - Head of Safety Systems • Joshua Achiam - Chief Futurist • Chloé Bakalar - Head of Ethics • Caitlin Kalinowski - Head of Hardware and Robotics Something is happening at OpenAI.

Meet China’s real-life Transformers. These powerful rescue platforms deployed to SW China’s Guangxi provide vital lifelines in raging floods and carry people out of danger.