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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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Biznes va tadbirkorlik oliy maktabi

@gsbe_uz · Post #1869 · 12/16/2024, 12:58 PM

🇺🇿RANXiGS hamkorligidagi qo‘shma magistrlik dasturini tantanali ochilishi o‘tkazildi 🏆 Biznes va tadbirkorlik oliy maktabida Rossiya Federatsiyasi Prezidenti huzuridagi Rossiya xalq xo‘jaligi va davlat xizmati akademiyasi (RANXiGS) bilan qo‘shma magistratura dasturiga start berildi. 🇷🇺В Высшей школе состоялась торжественная церемония открытия совместной магистерской программы с РАНХиГС 📑 В Высшей школе бизнеса и предпринимательства состоялась торжественнаяцеремония открытия совместной магистерской программы с Российской академией народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС). 🇬🇧Solemn Ceremony of Launching a Joint Master’s Program with the Russian Academy of National Economy and Public Administration (RANEPA) 💼 The Graduate School of Business and Entrepreneurship held theopening ceremonyof the joint master’s program with the Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA). #GraduateSchool#Opening#Ceremony#Joint 🔝Web-site |🔝Facebook | 🔝Instagram | 🔝Youtube

Samuel Seminara: Storia, Politica, Attualità

@samseminara · Post #904 · 03/25/2021, 10:46 PM

#Elezioni#Israele 100% scrutinato: #Likud|ECR: 30 seggi (-6) #YeshAtid|Centro: 17 (+4) #Shas|Charedì: 9 #BaW|Centro: 8 (-7) #Yamina|Destra: 7 (+4) #Labor|S&D: 7 (+4) #UTJ|Destra charedì: 7 #Beiteinu|Destra secolare: 7 #NewHope|Centro-destra: 6 (+6) #RZ-#OtzmaYehudit-#Noam|Estrema destra ebraica: 6 (+4) #Meretz|S&D: 6 (+3) #Joint (#Hadash-#TA-#Balad-#MA)|Sinistra araba: 6 (-5) #RA|Sinistra islamica: 4 #NEP|Economisti: 0 (0,79%) #Rafa|No-vax: 0 (0,39%) Totale seggi: 120 Maggioranza: 61 Attuale Governo (Likud-BaW-Shas-UTJ-JewHome): 54 @UltimoraPolitics