Google Research Explores: Can AI Feedback Replace Human Input for Effective Reinforcement Learning in Large Language Models?

Human feedback is essential to improve and optimize machine learning models. In recent years, reinforcement learning from human feedback (RLHF) has proven extremely effective in aligning large language models (LLMs) with human preferences, but a significant challenge lies in collecting high-quality human preference labels. In a research study, researchers at Google AI have attempted to […]

The post Google Research Explores: Can AI Feedback Replace Human Input for Effective Reinforcement Learning in Large Language Models? appeared first on MarkTechPost.

ai shorts applications artificial intelligence challenge editors pick feedback google google research human human feedback language language model language models large language large language model large language models lies llms machine machine learning machine learning models quality reinforcement reinforcement learning research rlhf staff tech news technology