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grpo-rl-training

separate

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training

When to use

• **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)
• Simple supervised fine-tuning tasks (use SFT instead)
• Tasks without clear reward signals
• When you already have high-quality preference pairs (use DPO/PPO instead)

When not to use

• Simple supervised fine-tuning tasks
• Tasks without clear reward signals
• When you already have high-quality preference pairs

Skill page

Source