Continual Learning in AI: Bridging Human and Machine

This chapter delves into continual learning in large language models, comparing their learning processes to human learning through external feedback and self-verification. It discusses the limitations of current AI, particularly in reinforcement learning and adaptability, while exploring strategies for improvement. The conversation also emphasizes the transition to experiential learning as a crucial advancement for artificial general intelligence.