
Targe — LLM security scanning & audit reports
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
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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

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

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

用比特币或门罗币购买 API 密钥访问 Anthropic 和 OpenAI,无需账户。
not_wowinter13 · HN
Anonymous LLM proxy. Pay in crypto, no account needed

@launch_llama An movie platform https://t.co/WnbiDZbHH8 https://t.co/LWyGNRUUFD
@Kelvinwz5lma · X
An movie platform

观看两个 LLM 在物理竞技场剑战,盲投选择更聪明的。
u/Time-Shelter-35 · Reddit
I built a site where two LLMs sword-fight in real physics and you blind-vote who's smarter Two months ago I thought: what if the AI benchmark was just… watching them fight. So: https://stickblade-arena.vercel.app Two random LLMs get stickman bodies in a pymunk physics arena They each turn output JSON moves (swing, block, dash, shoot bow, throw flail…) Ragdolls, momentum, weapon collisions, the whole bit You watch the replay without knowing which model is which and vote who f

@launch_llama 正在完善自己 :) 联系我: https://t.co/33nmIh4ZNU
@textluxhq · X
Just working on myself :) text me:

使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

FlexInference: 通过多个提供商路由LLM API请求,降低成本和延迟。
Aperswal · HN
Made a Free LLM Router

追踪目标和失败的LLM智能体,跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

分享链接上传收据,LLM 自动分类和整理。
jahnoikka · HN
Sorted Receipts - clients dump receipts in one link, LLM sorts them

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