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Helps users discover and install agent skills based on their queries.
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fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
#llm-optimization#fine-tuning#reinforcement-learning#huggingface#transformers
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Repository
Repositorydavila7/claude-code-templates
Stars22,267
Last UpdatedMar 7, 2026
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