Group Relative Policy Optimization for reinforcement learning from human feedback. Covers GRPOTrainer, reward function design, policy optimization, and KL divergence constraints for stable RLHF training. Includes thinking-aware reward patterns.
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- Comprehensive skill evaluation and performance tracking
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- Easy integration with Claude Code
- Regular updates and maintenance
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Created
Jan 2026
Last Updated
il y a 5 mois
tools
tools llm ai
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