#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
RsS iS dEaD LOL: discover RSS Feeds of your follows on Mastodon
频道曾经提及过一个叫 FeedsMage 的服务,用于从你 fo 的推友的 Bio 里找链接,再从链接里找 Feed ,最后可生成一个 #OPML 文件。RsS iS dEaD LOL 则是长毛象版的 FeedsMage,从你 fo 的 Fediverse 用户的 Bio 里找链接,发现 RSS,然后可生成 #OPML:
https://rss-is-dead.lol/
例如我的:
https://rss-is-dead.lol/user?profileUrl=https%3A%2F%2Fmastodon.social%2Fusers%2FAboutRSS
发现于作者嘟文:
https://mastodon.social/@paulcuth/112178886374464145