尚未检测到更新。GitHub 发布版本后会显示在这里。
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
PGX — Lightweight Postgres for AI agents. Written in Rust. Thousands of isolated databases in one runtime. 🐘
翻译准备中
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权，自行管理介绍，无需管理员批准。
登录并生成验证文件，在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件，即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录，将前往登录页面。登录后请回到此处，再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify，即可验证所有权并自行管理介绍。
一分钟完成验证正在加载完整 README。 以下为已保存的摘录。
A comprehensive system for collecting, normalizing, and aggregating LLM benchmark scores across 15+ benchmark sources. This tool creates a unified dataset of AI model performance metrics from diverse evaluation platforms.
ai-bench solves the problem of fragmented AI model benchmarking: different organizations run benchmarks independently, each with their own model naming conventions, scoring formats, and update schedules. This project aggregates all these scores into a single, normalized JSON file (llm.json) where:查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
A comprehensive system for collecting, normalizing, and aggregating LLM benchmark scores across 15+ benchmark sources. This tool creates a unified dataset of AI model performance metrics from diverse evaluation platforms.
ai-bench solves the problem of fragmented AI model benchmarking: different organizations run benchmarks independently, each with their own model naming conventions, scoring formats, and update schedules. This project aggregates all these scores into a single, normalized JSON file (llm.json) where:查看完整 README ↗