Home› 🧠 Models ›Learning to summarize with human feedbac… OpenAI 🧠 Models 🕐 Sep 4, 2020 👁 13 ⏱ 1 min read Learning to summarize with human feedback We’ve applied reinforcement learning from human feedback to train language models that are better at summarization. Source: OpenAI — Published September 4, 2020 at 07:00 UTC — Category: Models 🔗 Read full article on OpenAI → Share: 𝕏 Twitter in LinkedIn 💬 WhatsApp 🔗 Copy Link More in Models Latent Space14h ago [AINews] Zawinski's Law of MultiAgents The Decoder19h ago OpenAI flags its new Astra model as potentially reaching the highest cybersecurity risk level for the first time The Decoder20h ago AI music generator Suno tightens rules to fight spam and address growing copyright concerns The Decoder21h ago AMD acquires Taalas, a startup that bakes AI models directly into silicon Hugging Face21h ago TutorMoments: Do AI tutors know when to help and when to hold back? The Decoder21h ago Anthropic loosens Fable 5's biology restrictions but keeps the guardrails on for virology and toxicology