斯坦福团队推的OpenJarvisAI，让AI代理先跑在本地、必要时才上云，还管能耗和延迟，挺实在的开源框架。
OpenJarvisAI是一个开源的个人AI代理框架，默认在本地设备上运行，仅在必要时才调用云端。它首次将能源消耗、成本和延迟作为一等指标进行优化。该项目由斯坦福大学AI实验室的Jon Saad-Falcon等人协作开发，并被Laude Institute的Slingshots // THREE项目选中。框架旨在让AI代理在保持隐私的同时实现高效推理。
Congrats to @OpenJarvisAI! The future of LM inference runs beyond the datacenter: local by default, ...
Congrats to @OpenJarvisAI ! The future of LM inference runs beyond the datacenter: local by default, hybrid by design. Jon Saad-Falcon @JonSaadFalcon Excited to share that @OpenJarvisAI is part of @LaudeInstitute 's Slingshots // THREE alongside an incredible batch of researchers! OpenJarvis is an open-source framework for personal AI that lives on your device first: agents run locally by default and reach for the cloud only when a task truly calls for it, with energy, cost, and latency treated as first-class metrics. Grateful to the whole Laude team for the support, and to my collaborators @Avanika15 , @HazyResearch , and @Azaliamirh at @StanfordAILab . 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 3 👀 1469 📊 1 ⚡