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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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Universe Mysteries 🪐

@cosmomyst · Post #110 · 08/10/2025, 01:11 PM

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🪐 The star HD 110432, found in the constellation Centaurus, is known for its intense X-ray flares and rapid spinning. This strange star belongs to the "gamma Cassiopeiae variables"—a class of hot, blue stars that shed material from their equators and produce mysterious, unpredictable bursts of X-rays unlike most other stars in our galaxy. ✨ #stars⚡#mysteries⚡#variables⚡#nasa⚡#galaxy⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries

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MDC Uzbekistan

@mdcuzbekistan · Post #11 · 05/16/2021, 04:46 PM

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O'zgaruvchilar Barcha dasturlash tillarida eng ahamiyatli o’rinlardan birida turadigan, hamda ko’pchilikka ilk dasturlashni boshlash chog’larida muammo bo’lishga ulgurgan, ushbu mavzu to’g’risida yaqin daqiqalar ichida tushunmovchiliklarga barham beramiz. 👉Batafsil 👨‍🏫 Mentor: Xondamir Abduxoshimov #csharp#variables#starter#dotnet .NET Uzbekistan Community __________ Telegram | Instagram | Youtube

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Suxrob Xurramov | Blog

@suxrobblog · Post #1168 · 10/10/2025, 05:03 AM

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Dizayn tizimingdagi tokenlar ish jarayonini qanday o‘zgartirib yuborishini bilasanmi? Komponentlar va auto layoutlar bu «zo‘r narsa», lekin tokenlarsiz sen vaqtni tejash va dizayndagi bir xillik (consistency)ning eng muhim qismini boy berasan. Tokenlar — bu ranglar (colors), shriftlar (typography), bo‘shliqlar (spacing) va boshqa uslubiy (style) parametrlar uchun o‘zgaruvchilar (variables) hisoblanadi. Tasavvur qil, bitta token qiymatini o‘zgartirasan va butun mahsulot avtomatik yangilanadi. 💎 50 ta ekran dizaynini qo‘lda tahrirlashni xohlaysanmi? 🤯 — Albatta yo‘q. Tokenlar bu ishni atigi ikki bosishda hal qiladi, xatolar sonini kamaytiradi va relizlarni (releases) tezlashtiradi. P.S. Tokenlar bilan ishlashdagi samarali tajribalarni izohda yozib qoldiramiz) @suxrobblog » #designsystem#token#variables

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