#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
💾 Bola 512 GB hajmdagi 50 ta SSDni sindirib qo‘ydi
💸 Bir erkak narxlar oshib borayotganini ko‘rib, xotira qurilmalariga sarmoya kiritmoqchi bo‘lib, 512 GB li 50 taSamsung PM991a SSD sotib olgan — jami qiymati taxminan $4000 bo‘lgan.
😱 Ammo ularning barchasini 10 yoshli o‘g‘li o'ynab, bukib chiqqan.
😭 Bechora bola… "detdom"ga ketarmikan?
➡️#ssd | Birinchi IT-Blog
Про #ssd почему скорость бывает падает, и что важно знать всем
https://news.fidller.com/2023/03/17/pochemu-vash-novyy-ssd-rabotayet-medlenno/
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