#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
🐄🐄 𝘿𝙄𝙂𝙀𝙎𝙏𝙄𝙊𝙉 𝙄𝙉 🐄𝙍𝙐𝙈𝙄𝙉𝘼𝙉𝙏𝙎 🐄🐮
👉All herbivores (plant-eating mammals) are called ruminants.
👉They rechew the cud to break down plant matter and stimulate digestion.
👉The stomach is divided into four chambers- rumen, reticulum, omasum, and abomasum.
🐄🐮 𝙋𝙧𝙤𝙘𝙚𝙨𝙨 𝙊𝙛 𝘿𝙞𝙜𝙚𝙨𝙩𝙞𝙤𝙣 🐄🐮
👉Ruminants quickly swallow the food and store it in the rumen.
👉Once the rumen is filled, food is passed into the second chamber (reticulum).
👉In the reticulum, digestive juices partially digest the food.
👉Partially digested food is called cud.
👉Now when mammals are resting, bring the cud back into the mouth for rechewing.
👉After cud is chewed food is passed to the omasum and the abomasum.
👉Symbiotic bacteria in the caecum brought complete digestion of cellulose.
#digestion
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