Reinforcement Learning from Human Feedback (RLHF): Aligning AI with Human Values | InfoSecured.ai
Reinforcement Learning from Human Feedback (RLHF) is a transformative approach that combines reinforcement learning (RL) with direct human feedback to shape AI behavior. While traditional RL relies on predefined reward functions to guide an agent’s learning process, RLHF enhances this by incorporating human preferences, ensuring the agent’s actions align with human values and ethical standards. […]
