大语言模型LLM和AI代理AGI的路线图和未来愿景

3.0 2025-05-14 11 0 4671 KB 40 页 PDF
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大语言模型LLM和AI代理AGI的路线图和未来愿景
大语言模型LLM和AI代理AGI的路线图和未来愿景
大语言模型LLM和AI代理AGI的路线图和未来愿景
摘要:

LLMReasoning and AI Agents:Jun Wang, UCLHinton created Gatsby Unit, where Hassabis was a post-doc researcher“To the Boltzmann machine work cited by the Nobel Prize committee led on to his development of the ‘Restricted Boltzmann machine’ while at the UCL Gatsby Unit, and this in turn helped to feed the late 2000s resurgence of ‘deep learning’ on which current AI systems depend.Professor Rees said: “Demis has always been a brilliant and highly creative researcher and innovator, and we are immensely proud to have him as part of the UCL community. It is tremendously exciting to hear he has won the Nobel Prize, and at the same time entirely unsurprising.What is a learning?•In biology, learning means a change of behaviour as a result of experienceIn classical conditioning1, animals can learn to identify a useful pattern in the environment by associating onestimulus with another: repeated given {ring-a-bell O, food X}, a dog will start to salivate (anticipate the upcoming of the food) when b

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大语言模型LLM和AI代理AGI的路线图和未来愿景

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大语言模型LLM和AI代理AGI的路线图和未来愿景
大语言模型LLM和AI代理AGI的路线图和未来愿景
大语言模型LLM和AI代理AGI的路线图和未来愿景
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作者: 分类:机构报告 属性:40 页 大小:4671 KB 格式:PDF 时间:2025-05-14

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