RLHF is instrumental in shaping AI systems to become more useful, trustworthy, and aligned with human values. Let’s read the blog to find out how. Large language models have taken the world by storm. They answer all our questions, and assist us in performing the most complicated tasks. However, gaps in these AI models must be addressed to make them more human-like. Reinforcement Learning from Human Feedback (RLHF) has been an important turning point in this space, benchmarking LLM’s performance on various metrics. RLHF combines human intelligence with machine learning to train computers to perform complicated tasks. RLHF differs from traditional AI model training methods by making them more accessible and intuitive. Let’s learn more about RLHF, its limitations, applications, and how it adds the human touch to AI. […]
Original web page at pub.towardsai.net
