Enhancing Reinforcement Learning with Human Feedback using OpenAI and TensorFlow

Introduction As artificial intelligence (AI) continues to advance, it is becoming increasingly important to develop methods that ensure AI systems align with human values and preferences. Reinforcement Learning from Human Feedback (RLHF) is a promising strategy for achieving this alignment. It allows AI systems to learn from human supervision. This article will provide an overview … Continue reading Enhancing Reinforcement Learning with Human Feedback using OpenAI and TensorFlow