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grpo-rl-training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
backend/cli/skills/ml-training/grpo-rl-training/SKILL.md
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
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- science Repository topic
- ai-agent Repository topic
- post-training Declared skill tag
- reinforcement-learning Declared skill tag
- grpo Declared skill tag
- trl Declared skill tag
- rlhf Declared skill tag
- reward-modeling Declared skill tag
- reasoning Declared skill tag
- dpo Declared skill tag
- ppo Declared skill tag
- structured-output Declared skill tag
- education Derived category
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Read excerpt
# GRPO/RL Training with TRL
Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-ready workflows for fine-tuning language models with custom reward functions.
## When to Use This Skill
Use GRPO training when you need to:
- **Enforce specific output formats** (e.g., XML tags, JSON, structured reasoning)
- **Teach verifiable tasks** with objective correctness metrics (math, coding, fact-checking)
- **Improve reasoning capabilities** by rewarding chain-of-thought patterns
- **Align models to domain-specific behaviors** without labeled preference data
- **Optimize for multiple objectives** simultaneously (format + correctness + style)
**Do NOT use GRPO for:**