🚨Leave Netflix tonight.
Watch this 2 h 34 min Stanford class.
It's the clearest, most complete, and brutally honest explanation out there on how ChatGPT and Claude are really built.
From Tokenization and BPE to the Transformer architecture, the training pipeline, and the next-token decoder. No fluff. No marketing. Just the truth.
Doesn't matter if you've never touched a line of AI code or if you spend your days launching Agents: by the end, you'll suddenly connect a ton of pieces you've been trying to fit together for years.
The real core boils down to this:
How text turns into numbers the model can "eat" (BPE tokenization)
The sole mission of a language model: predict the next token
How the Transformer uses Attention so tokens can pass messages to each other
In training, the NLL loss pushes the probability of the entire sequence
In generation, the decoder builds the response token by token
The big-picture view that takes most people years to form… this class delivers it to you complete in one sitting.
Free up your time.
This could be, no exaggeration, the most valuable class you watch this month.
我的最新实战书:《数字游民全球创业》发布。这本书讲的是,一个人如何把自己的身份、公司、收付款、AI、产品、现金流和长期项目,逐步接入全球系统。
全书以美国公司 DLL Systems 的真实搭建过程作为贯穿案例,拆解一家“一人全球公司”如何从公司主体、地址、银行、支付、域名、服务器、邮件,到 AI 协作、产品和商业架构逐步形成。
重点不是教你照抄某个工具,而是让你理解:如何建立全球创业能力、稳定现金��,并利用 AI 和全球基础设施,把个人判断力放大成一家真正运行的公司。
完整目录,及本书购买链接:https://t.co/d7TmP3L01M
其他内容购买链接:https://t.co/1nMGyIyRG3