
OpenLLM — All your LLM needs in 1 place
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
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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

Tuned 聚合您关注话题的每日新闻,涵盖印刷、音频、视频和数字媒体。
@BairdHall · X
“It’s over” “We’re done” etc. I wish @x algo was better and not surfacing that type of stuff. Side note: been vibe coding an app to try and fix this:

集成 conversational AI 的新闻阅读器,专注阅读并获取市场洞察。
@luca_iaconelli · 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

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

用 LLM 评估 AI agent 对话质量,提供评分卡和成本分析。
@tech_maju · X

VeroLente AI用AI技术即时验证新闻、视频、图像和声明,获取真实度分数。
@Banshee_1212 · X
building a deepfake detection platform,

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


用任何AI构建和托管应用
@akhileshrangani · X
i built codex micro and used it inside of claude to control codex AND claude code it uses a herdr bridge that is running on my mac talks it through a ngrok proxy uses to render inside of claude

语义缓存减少LLM令牌成本和AI查询延迟。
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]

AI驱动的每日摘要,整合Gmail、日历、GitHub和Figma。
@CodewithDivine · X
check this out