RLAIF

English Etymology en Anthropic American artificial intelligence company 2022.en https://arxiv.org/abs/2212.08073 Constitutional AI: Harmlessness from AI Feedback 2022-12-15 arXiv Yuntao Bai; et al. Noun - en Q135214674 en machine learning en reinforcement learning from AI feedback. en RL<id:Q830687> reinforcement learning<id:Q830687> < DL<id:Q197536> deep learning<id:Q197536> < ML<id:Q2539> machine learning<id:Q2539> < learning#Noun en RLVR<id:reinforcement learning with verifiable rewards> en RLHF<id:Q115570683> en 2023 RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Arxiv https://arxiv.org/abs/2309.00267 Reinforcement learning from human feedback (RLHF) has proven effective in aligning large language models (LLMs) with human preferences. However, gathering high-quality human preference labels can be a time-consuming and expensive endeavor. RL from AI Feedback (RLAIF), introduced by Bai et al., offers a promising alternative that leverages a powerful off-the-shelf LLM to generate preferences in lieu of human annotators. en 2023-10-6 Reinforcement Learning Craves Less Human, More AI Tasmia Ansari Analytics India Magazine https://analyticsindiamag.com/reinforcement-learning-craves-for-less-human-more-ai/ a prime hurdle lies in gathering high-quality human preference labels. This is where reinforcement learning from human feedback with AI feedback (RLAIF) comes into the picture, a novel framework by Google Research to train models with reduced reliance on human intervention. https://web.archive.org/web/20240426222502/https://analyticsindiamag.com/reinforcement-learning-craves-for-less-human-more-ai/ 26 April 2024 See also en RLHF en reinforcement learning References