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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.

Install

npx skills add KalarisLabs/research-agent-skills --skill fine-tuning-with-trl -a claude-code

Installs to .claude/skills/fine-tuning-with-trl/ · Each command fetches the skill straight from GitHub with the open skills CLI.

Download .zip

Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 82

Security100
Provenance62
Maintenance100
Licence100
Adoption32

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