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Terry Sejnowski: ChatGPT and the Future of AI

Guy Kawasaki's Remarkable People

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Hallucinations and Human-Like Learning in LLMs

This chapter explores the phenomenon of hallucinations in large language models (LLMs), highlighting the model's tendency to generate convincing yet false information and the role of prompt engineering in improving interactions. It draws parallels between the reconstructive nature of memory in humans and LLMs, emphasizing how the quality of prompts influences the model's responses. Additionally, the discussion delves into the implications of training AI on existing works, the evolving definition of learning in AI, and the potential shifts in the publishing industry due to advancements in LLMs.

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