英和和英

名詞

RLHF (uncountable)

1. (machine learning) Initialism of reinforcement learning from human feedback.
   • 2023, Mohak Agarwal, Generative AI for Entrepreneurs in a Hurry‎, Notion Press, →ISBN:

     ChatGPT and reinforcement learning with human feedback (RLHF) have revolutionized the AI landscape, providing an accessible and reliable platform for AI-enabled applications.

   • 2024 April 16, Alex Hern, “TechScape: How cheap, outsourced labour in Africa is shaping AI English”, in The Guardian‎, →ISSN:

     Turning it into a chatbot requires an extra step, the aforementioned reinforcement learning with human feedback: RLHF. An army of human testers are given access to the raw LLM, and instructed to put it through its paces: asking questions, giving instructions and providing feedback.

   • 2025 May 9, Mike Caulfield, “AI Is Not Your Friend”, in The Atlantic‎, retrieved 10 May 2025:

     RLHF now seems more like a process by which machines learn humans, including our weaknesses and how to exploit them. Chatbots tap into our desire to be proved right or to feel special.

   • 2025, Karen Hao, Empire of AI, New York City: Penguin Press, →ISBN:

     At the time, InstructGPT received limited external attention. But within OpenAI, the AI safety researchers had proved their point: RLHF did make large language models significantly more appealing as products.

   • 2025 June 14, Melissa Heikkilä, “AI leaders rein in ‘sycophantic’ chatbots that flatter users”, in FT Weekend (Companies & Markets section), London: The Financial Times Ltd., →ISSN, →OCLC, page 12:

     The “yeasayer effect” arises in AI models trained using reinforcement learning from human feedback (RLHF)—human “data labellers” rate the answer generated by the model as being either acceptable or not.