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HuggingFace Introduces TextEnvironments: An Orchestrator between a Machine Learning Model and A Set of Tools (Python Functions) that the Model can Call to Solve Specific Tasks
MarkTechPost www.marktechpost.com
Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In this full-stack library, researchers give tools to train transformer language models and stable diffusion models with Reinforcement Learning. The library is an extension of Hugging Face’s transformers collection. Therefore, language models can be loaded directly via transformers after […]
ai shorts applications artificial intelligence call deep learning diffusion diffusion models editors pick fine-tuning full-stack functions huggingface language language models library machine machine learning machine learning model modeling optimization orchestrator part policy ppo python reinforcement researchers set sft solve specific tasks stable diffusion stable diffusion models stack staff supervised fine-tuning tasks tech news technology tools train transformer transformer language models