grpo-rl-training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
npx skills add Orchestra-Research/AI-Research-SKILLs --skill grpo-rl-training --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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:** - 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) --- ## Core Concepts ### 1. GRPO Algorithm Fundamentals **Key Mechanism:** - Generates **multiple completions** for each prompt (group size: 4-16) - Compares completions within each group using reward
- When to Use This Skill
- Core Concepts
- 1. GRPO Algorithm Fundamentals
- 2. Reward Function Design Philosophy
- Implementation Workflow
- Step 1: Dataset Preparation
- Step 2: Reward Function Implementation
- Step 3: Training Configuration
- Step 4: Model Setup and Training
- Critical Training Insights
- 1. Loss Behavior (EXPECTED PATTERN)
- 2. Reward Tracking
- 3. Common Pitfalls and Solutions
- Advanced Patterns
What does the grpo-rl-training skill do?
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill grpo-rl-training --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.