文章 2025-03-27 来自:开发者社区

MCP:跨越AI模型与现实的桥梁

一、引言 AI 技术近年来取得了显著进展,从最初的文本生成和简单问答工具,逐步演变为能够与现实世界互动的执行者。这种转变得益于大模型的增强能力,特别是 Anthropic 的 Claude 3.7 模型,它在逻辑推理和代码生成方面表现卓越。 早期用户对 Claude 3.7 Sonnet 的反馈: Cursor 报告称其在实际编码任务中“再...

MCP:跨越AI模型与现实的桥梁
文章 2022-02-17 来自:开发者社区

重建脑科学与AI之间的桥梁,人工神经网络比机器学习更优吗?

云栖号资讯:【点击查看更多行业资讯】在这里您可以找到不同行业的第一手的上云资讯,还在等什么,快来! 几十年来,神经科学在人工智能的研究历程中起到了举足轻重的作用,人工智能的奠基人 Donald Hebb、Warren McCulloch、Marvin Minsky 和 Geoff Hinton 最初的研究动力均源自对他们大脑工作机理的浓厚兴趣,当时的研究人员也一直试图模仿大脑的功能,构建神经科学....

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