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As AI models scale in size, something unexpected is happening: emergent abilities. In this episode, we explore the findings of this cutting-edge research on how large language models like GPT-4 develop capabilities that were not explicitly programmed into them, such as solving complex problems or understanding abstract concepts. What triggers these emergent abilities, and how can they be harnessed for applications like autonomous systems and advanced decision-making? We'll unpack the implications for the future of AI and how these models could change our understanding of intelligence itself.
Download Link:
https://arxiv.org/pdf/2401.05561
By Rodrigo ZAs AI models scale in size, something unexpected is happening: emergent abilities. In this episode, we explore the findings of this cutting-edge research on how large language models like GPT-4 develop capabilities that were not explicitly programmed into them, such as solving complex problems or understanding abstract concepts. What triggers these emergent abilities, and how can they be harnessed for applications like autonomous systems and advanced decision-making? We'll unpack the implications for the future of AI and how these models could change our understanding of intelligence itself.
Download Link:
https://arxiv.org/pdf/2401.05561