网络弧线
超级实用功能齐全的软件著作权模板材料生成方案
What it does
网络弧线 - 软著材料一键生成专家及自动生成软著文档工具服务商，提供无需登录的软件著作权生成方案，三分钟内生成程序鉴别材料和文档鉴别材料。我们的软件著作权模板材料生成方案，可快速为用户提供材料借鉴，并拥有 70% 的产品下证率。提供付费生成方案和免费生成软件，以及全面的技术支持。
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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