REINFORCEMENT-LEARNING
30 days · UTC
Synchronizing with global intelligence nodes...
Karpathy’s agentic workflow: from coding to manifesting intent
Andrej Karpathy says his workflow flipped to delegating most coding to AI agents since December 2024. In a wide-ranging recap, Karpathy describes a s...
Decouple RL environments from training: NeMo Gym + Unsloth approach, backed by new failure-mode evidence
A new deep dive argues RL teams should separate environment services from the training loop, and fresh research shows why sloppy environments create b...
Stabilizing Agentic RL and Closing Multilingual Alignment Gaps
New research points to a more stable RL path for long-horizon LLM agents and exposes multilingual alignment gaps that can surface unsafe or inconsiste...
Jet-RL claims 41% faster RL training via FP8 'Unified Precision Flow'
Jet-RL reports a 41% training speedup in reinforcement learning by using FP8 with a "Unified Precision Flow" that coordinates precision choices across...
Jet-RL claims 41% faster RL via FP8 unified precision
A report on [Jet-RL](https://quantumzeitgeist.com/41-percent-rl-faster-reinforcement-learning-jet-achieves-fp8-unified-precision/)[^1] says its unifie...
Jet-RL claims 41% faster RL training via FP8 unified precision
Jet-RL reports a 41% speedup in reinforcement learning by using FP8 with a "unified precision flow," suggesting a consistent precision strategy across...