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GitHub - huggingface trl: Train transformer language models with . . . TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), and Direct Preference Optimization (DPO)
TRL - Transformer Reinforcement Learning - Hugging Face TRL is a full stack library where we provide a set of tools to train transformer language models with methods like Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), Direct Preference Optimization (DPO), Reward Modeling, and more
Technology readiness level - Wikipedia TRL is determined during a technology readiness assessment (TRA) that examines program concepts, technology requirements, and demonstrated technology capabilities TRLs are based on a scale from 1 to 9 with 9 being the most mature technology [1] TRL was developed at NASA during the 1970s
trl · PyPI TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO)
TRL TRL Honored for Leadership in Workforce Development Executive Director Cheryl Heywood received the 2025 WWA Chair Award! TRL was honored for leadership, equity impact in WA’s workforce