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Advancements in Large Language Models and Neuroscience Influence on AI Development
The chapter explores how improvements in large language models can enhance general reasoning, emphasizing transfer learning and the need for mechanistic analysis. It also discusses the impact of neuroscience on AI, drawing parallels between human and artificial intelligence systems and focusing on the brain's insights for algorithms like reinforcement learning. Additionally, the integration of tree search mechanisms on top of LLMs for efficient AGI systems and defining reward functions for AI are explored.