Show HN: Offline Flock Navigation
离线导航新选择,路线自动绕开摄像头,全程无云端参与,隐私至上的驾驶助手。
Hello HN! A little side project I have been working on a fork of OsmAnd with offline ALPR/Flock camera avoidance routing. Also, took the time to at le…
离线导航新选择,路线自动绕开摄像头,全程无云端参与,隐私至上的驾驶助手。
Hello HN! A little side project I have been working on a fork of OsmAnd with offline ALPR/Flock camera avoidance routing. Also, took the time to at le…
探讨极简消息平台如何在隐私与可用性间找到平衡,拒绝数据贩卖与功能臃肿,值得关注。
Seeking thoughts on idea of Minimalist Messaging, looking at current state of affairs especially referring to existing dominant players, none has actu…
一款无需数据库或消息代理的持久化 curl 工具,轻量可靠,适合批处理与自动化场景。
Article URL: https://github.com/Rionlyu/spoold Comments URL: https://news.ycombinator.com/item?id=48976406 Points: 2 # Comments: 0
轻量级工具,无需数据库和配置,直接用 SQL 语法查询 JSON 数据,仅 500KB 大小。
Article URL: https://github.com/mnesimiyilmaz/sql4json Comments URL: https://news.ycombinator.com/item?id=48897784 Points: 1 # Comments: 0
提出元记忆代理方法,无需训练数据即可增强大语言模型代码生成能力,创新解码策略提升准确率。
arXiv:2501.07892v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown strong performance in automated code generation, wit…
提出Float8@2bits方法,用熵编码在无数据场景下高效压缩模型,性能几乎无损。
arXiv:2601.22787v2 Announce Type: replace Abstract: Post-training compression is currently divided into two contrasting regimes. On the one hand, fast…
联邦学习新突破:无需本地数据的客户端贡献评估,用Logit最大化实现精准量化,兼顾隐私与效率。
arXiv:2605.18892v1 Announce Type: new Abstract: Federated learning (FL) enables collaborative learning of computer vision models, where privacy and re…
无需人工标注数据,LLM通过迭代教练-玩家推理实现强化学习突破
arXiv:2602.02979v2 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated strong potential in complex reasoning, yet their prog…