#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
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate. Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c https://x.com/OnchainLens/status/2034936951275757877 Follow @onchainlens for more onchain updates
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate.
Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c
https://x.com/OnchainLens/status/2034936951275757877
Follow @onchainlens for more onchain updates
After being dormant for 8 months, a whale deposited 2,11,343 $TRUMP worth $847.4K into #Gate, losing $1.28M.
The whale initially withdrew these $TRUMP for $2.13M from #Gate.
The whale also holds 18,787 $SOL ($1.66M), losing $1.62M.
Address - 7HqAk2h4cJZqyKdbzKEqm4JeWBnKMitVrwFMoEgqE93D
https://x.com/OnchainLens/status/2033095024649601045
Follow @onchainlens for more onchain updates
Wallet 0x011 (likely @ambergroup_io) withdrew 3M $SAFE ($6.72M) from #Gate.io at $2.25 for the first time 6 hours ago.
Notably, the $SAFE price has dropped ~36% since it became transferrable on April 23, 2024. Was this a good entry? 🤔
Follow @spotonchain and set alerts for Amber Group now via https://platform.spotonchain.ai/en/entity/80