The Future of AI: Exploring the Impact of Reinforcement Learning from Human Feedback
Introduction As artificial intelligence (AI) systems become more complex and capable, the challenge of aligning their outputs with human intentions has grown increasingly significant. Traditional reinforcement learning (RL) methods often rely on predefined reward structures that may not adequately capture the nuances of human preferences. This misalignment can lead to AI behaviors that are unexpected […]