Use the ReinforceNow CLI for RLHF training. Use when running rnow commands, initializing projects, submitting training runs, testing rollouts, running evals, or downloading models. Triggers on "rnow", "rnow init", "rnow run", "rnow test", "rnow eval", "rnow download", "rnow deploy", "rnow login", "training run".
Configure ReinforceNow training runs with config.yml and train.jsonl. Also covers converting HuggingFace datasets to ReinforceNow format. Triggers on "config.yml", "train.jsonl", "training config", "batch_size", "group_size", "max_turns", "qlora", "HuggingFace", "dataset", "convert dataset".
Write reward functions for ReinforceNow RL training. Use when creating @reward decorated functions, writing rewards.py, using precondition rewards, sandbox rewards, llm_judge, or math-verify. Triggers on "reward function", "@reward", "RewardArgs", "precondition", "llm_judge", "math-verify", "math reward", "latex".
Write tool functions for ReinforceNow agent training. Use when creating @tool decorated functions, writing tools.py, or sandbox tools. Triggers on "@tool", "tools.py", "tool function", "function calling", "agent tools", "sandbox".
Format train.jsonl training data for ReinforceNow. Use when creating train.jsonl, formatting training entries, using tools/rewards per entry, or setting up sandbox/docker. Triggers on "train.jsonl", "training data", "docker", "sandbox", "entry format".
Configure ReinforceNow training runs with config.yml and train.jsonl. Also covers converting HuggingFace datasets to ReinforceNow format. Triggers on "config.yml", "train.jsonl", "training config", "batch_size", "group_size", "max_turns", "qlora", "HuggingFace", "dataset", "convert dataset".
Write Dockerfiles for sandbox environments. Triggers on "Dockerfile", "docker image", "FROM", "ENTRYPOINT", "docker build", "sandbox image".
Use the ReinforceNow CLI for RLHF training. Use when running rnow commands, initializing projects, submitting training runs, testing rollouts, or downloading models.