
WatchMachineGo
实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
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实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference

实时LLM驱动的新闻聚合器,展示热门新闻和实时更新。
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site

用NVIDIA TensorRT-LLM在消费级GPU上进行高性能大语言模型推理。
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)

压缩提示词并检测重复工具调用,降低LLM代币成本
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

微调LLM、清理数据集,教授和删除自定义事实,获得密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

查找与您硬件兼容的AI模型并查看性能和价格估计。
cdnsteve · HN
Tokenstead, find AI models for your hardware

对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

在 Enclave 保密计算平台上运行的 LLM 聊天界面。
SteveDeFacto · HN
Hi HN, I built Enclave, self-serve confidential compute on GPUs. Technical documentation is on the site, but I'd rather show than tell. Here are a couple apps hosted live on the platform: LLM Chat bot: https://cc1f4f3f.app.enclave.host AI Image Generation: https://da09d0f2.app.enclave.host If you have any questions, I would be more than happy to discuss.

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 ⬇️

可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

监控AI应用中的模型调用、代理步骤和检索,追踪令牌、成本和延迟。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications

分析新闻文章,验证结论是否得到证据支持。
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具:LedeLens。 它不做事实核查,也不判断政治倾向,只回答一个更小的问题:文章的结论,能否由它自己提供的证据支持? 在线体验: 感兴趣可以看看~