
Make Any Website Queryable by AI Agents — AgentReady
从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
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从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents

Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

LLM API支出分析仪表板,按模型和环境分类,含优化建议
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

追踪您的应用中使用的 AI 模型,并在其被弃用前获得警告。
taylorgt · HN
Find every AI model your code calls and warn before it's retired

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

LLM驱动的新闻聚合器,实时呈现和更新热门故事。
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site

压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

由大语言模型驱动的量化交易终端,24小时实时监控和执行交易。
beatrizgauto5 · V2EX
[开源/技术分享] 全天候 LLM 原生量化交易终端 & 自进化执行引擎: R20 Quantum Trader 折腾了几个月,今天把我一直在实盘环境跑的 **LLM 原生量化交易终端 —— R20 Quantum Trader** 完整开源了! 传统量化往往依赖死板的指标打分和固定阈值,这个项目做的一件核心探索就是:**将大语言模型( LLM )作为交易决策与持仓管理的真正大脑**,结合顶级聪明钱资金流与多维因子,实现自动推演、在途调仓与自进化复盘。 为了让大家能直观看到大模型的真实决策过程,我搭建了一个 24 小时全天候无休的公网在线监控终端,无需登录即可实时围观。 --- ## 🌐 项目地址与在线体验 - 🚀 **在线实时监控终端 (Live Demo)**:[https://www.r20.cn]( https://www.r20.cn) - 📦 **GitHub 开源仓库**:[https://github.com/555cute/r20-quantum-trader]( https://github.com/555cute/r20-quant

查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

追踪100+来源的AI和LLM新闻和模型发布。
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads

用你的数据微调定制语言模型,支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at