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OpenAI’s InstructGPT Leverages RL From Human Feedback to Better Align Language Models With User Intent
An OpenAI research team leverages reinforcement learning from human feedback (RLHF) to make significant progress on aligning language models with the users’ intentions. The proposed InstructGPT models are better at following instructions than GPT-3 while also more truthful and less toxic.
The post OpenAI’s InstructGPT Leverages RL From Human Feedback to Better Align Language Models With User Intent first appeared on Synced.
ai artificial intelligence gpt human instructgpt language language model language models machine learning machine learning & data science ml models openai reinforcement learning research rl technology