40 tagged distributed training, measured the same way as everything else here.
Browse within: GRPO 19Post-Training 19Multi-Agent 14Multimodal 14agentic-rl 14DeepSpeed 11ai-research 10Mixed Precision 9PyTorch 8agentskills 8FSDP 7DDP 6Accelerate 5FSDP2 5
Skill Claude CodeCodex
A troubleshooting workflow for Ray, a system that runs machine-learning jobs across multiple computers or GPUs, when a distributed training job stops making progress.
Skill Claude CodeCodex
Integrate a new NVIDIA NeMo Gym environment into Relax as a three-step recipe. Use when adding or debugging a recipe under examples/nemogymagentic/recipes; covers data preparation, a local private Gym service, direct Ray training launch, verifier validation, callback networking, lifecycle cleanup, and failure triage.
Skill Claude CodeCodex
Migrate RL training recipes from verl to Relax framework. Use when user wants to port reward functions, tool environments, training scripts, or any recipe code from the verl (volcengine/verl) codebase to Relax. Handles reward, rollout, tool/env, dataset, and launch script conversion. Supports both colocate (default)…
Skill Claude CodeCodex
Use when running, debugging, verifying, or delivering a deep-learning experiment on an owned or rented GPU, especially AutoDL or a remote SSH host; also use for Windows + Clash/Mihomo high-port SSH banner timeouts, fake-IP, or TUN routing interference. Covers launch, checkpoint/resume, detached monitoring…