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Yeah basically inspired by modal and metaflow.... And making is extremely simple and open source
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eva mendis retweeted
mietaflow.com/ Still dealing with energy crashes, cravings & unstable blood sugar after 40? 🔥 MetaFlow Drops support healthy glucose balance, steady daily energy & metabolic wellness with a fast-absorbing liquid formula—no pills required.
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🚀 从 0 到生产级 AI 应用|Anaconda 官方课 想学怎么用 AI 工具做点真东西,但网上教没人讲多 agent 编排、LLM 端点切换、GPU 加速、供应链安全这些真要落地的环节。 给大家分享一个超好用的开源课程,Anaconda 官方出的 10 个 module 教学 curriculum,整套用 NASA TESS 望远镜抓到的 WASP-18 b 系外行星真实数据贯穿全程。 GitHub:github.com/Anaconda-Labs/bui… 最猛的设计:演示代码不变,运行环境变——你能直观看到一份 agent 代码从本地 conda 跑到 GPU 集群、再跑到气隙服务器是怎么一步步迁的。 主要功能: 1️⃣ 10 个 module 全链路:conda 环境 → 单 agent → 多 agent → LLM 部署 → GPU 加速 → 应用架构 → 供应链安全 → 原生应用打包 2️⃣ 真实科学数据贯穿,不是 to-do list demo 3️⃣ Metaflow 编排 LangGraph agent 多 LLM 端点一键切(Claude Haiku / vLLM / Anaconda Platform) 4️⃣ GPU 加速演示:CUDA Python Nemotron vLLM,特征工程 47× 提速 5️⃣ 包含完整供应链安全:CVE 检查、conda-lockfile、AIBOM 出包 适合正在系统学 AI 应用开发,不想再看初级教程的朋友收藏学习。
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hibachi leaderboard 1. @Quantzilla34 6. huga 8. @kasoutuu 9. metaflow 10. @rodrigomcrypto @hibachi_xyz @arc $HEAT soon !!
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Join us at the Production AI with Metaflow Meetup, hosted by @DoorDash on 5/29! 🗓️ Catch technical discussions, presentations from teams at DoorDash, StubHub, and Netflix, and time to connect with the Metaflow community: bit.ly/4uhHBAI
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13 open-source tools for foundation model deployment ▪️ vLLM ▪️ Ollama ▪️ Hugging Face TGI ▪️ BentoML ▪️ Seldon Core ▪️ Kubeflow ▪️ MLflow ▪️ MLRun ▪️ Metaflow ▪️ TensorFlow Serving ▪️ TorchServe ▪️ SGLang ▪️ llama.cpp Save the list and learn where to use each of them here → turingpost.com/p/tools-for-m…
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"Ramp moves fast. We need partners who do the same." Ryne Carbone and the team at @tryramp moved 200 flows from Metaflow to Prefect in just 90 days. By the end of the quarter, they were managing 350 flows with 70 active contributors. 🚀
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ICYMI: Anaconda has acquired @OuterboundsAI, the company behind Metaflow. With Metaflow, Anaconda aims to address workflow orchestration and help teams move from experimentation to production with stronger governance. @thenewstack has the full story: bit.ly/4uhSy4N
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NEW: Anaconda acquires Outerbounds and its Metaflow ML orchestration framework
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NETFLIX BUILT AN MLOPS FRAMEWORK INTERNALLY...THEN OPEN SOURCED IT FOR EVERYONE and it's running 3000 ai/ml projects at netflix alone most ml teams hit the same wall prototype works on your laptop...falls apart in production...data pipelines break...compute doesn't scale...nobody can reproduce what you ran last week metaflow fixes all of that in one framework you write python. it handles everything else local prototyping → cloud scale → production deployment...one codebase... no rewrites need to run 10,000 parallel jobs..? foreach decorator need gpus..? one line need to deploy to production orchestrators..? one command it tracks every run automatically versions your data and models. lets you go back to any experiment instantly netflix uses it to process petabytes of data and manage tens of petabytes of models...amazon uses it....goldman sachs uses it....doordash uses it....ramp uses it the gap between "works on my machine" and "runs in prod" has always been the hardest part of mlops metaflow is netflix's answer to that gap now it's yours too github.com/Netflix/metaflow
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أيام قليلة وأنت خارج التغطية، هاك الخلاصة: 1. نموذج GLM-5.1 (صيني): أول نموذج مفتوح المصدر يدخل قائمة "الثلاثة الكبار" في برمجة LMArena Code Arena. حقق 1,530 نقطة، متقدماً على GPT-5.4 High و Gemini 3.1 Pro . السعر؟ دولار واحد فقط للمدخلات، بينما Opus 4.6 بـ 15 دولاراً. 2. Netflix مفتوحة المصدر (Metaflow 3.0): أطلقت "Metaflow 3.0" لتوليد فيديوهات قصيرة بإطارات متسقة، لكنها ليست Sora. نقاط قوتها: تعمل على 8GB VRAM فقط وتنتج فيديوهات بطول 5-10 ثوانٍ، لكن جودتها أقل من المنافسين. 3. وكلاء الاختبار التلقائي: مبرمج كتب "اختبر كل شيء" لـ Claude، فاختبر تطبيق iOS كاملاً خلال 8 دقائق واكتشف أخطاءً لم يرها المبرمج. نهاية عصر الـ QA اليدوي. الأهم: كل هذا في 48 ساعة فقط.
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