概论 前言 本课程内容还是挺丰富的，就是最后的量子信息部分内容不全。考虑到时代因素，这点是可以理解的。 课程简介 MIT6.050J: Information theory and Entropy 所属大学：MIT 先修要求：无 编程语言：无 课程难度：🌟🌟🌟 预计学时：100 小时 MIT 面向大一新生的信息论入门课程，Penfield 教授专门为这门课写了一本教材作为课程 notes，内容深入浅出，生动有趣。 ...
MIT How to AI(Almost) Everything 前言 本门课程主要讲的是多模态大模型，而不是AI应用方式。 课程资料链接 Course Description Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only systems to vision, audio, sensors, medical data, music, art, smell, and taste. This course will introduce the basic principles of AI (focusing on modern deep learning and foundation models) and how we can apply AI to novel real-world data modalities. In addition, we will introduce the principles of multimodal AI that can process many modalities at once, such as connecting language and multimedia, music and art, sensing and actuation, and more. ...