If you’re diving into LLMs or just curious about how tools like ChatGPT work under the hood, Karpathy’s breakdown is one of the clearest and most accessible resources out there. The following are highlights along with time stamps. Introduction (0:00 - 1:04) What are LLMs? Karpathy begins by explaining what large language models (LLMs) are, highlighting their capabilities and limitations. He also sets the goal of the session: to provide a comprehensive understanding of LLMs for a general audience.

Context So you have a typical project with a backend API and a frontend app built with React or Angular. You want to ensure that every time you push changes to production, they are thoroughly tested and deployed. To achieve this, you set up a CI/CD pipeline that handles the building, testing, and deployment processes automatically. At first, everything works smoothly, but as your project grows, you notice the pipeline is taking longer to complete.

People in the tech industry are often criticized for their lack of “soft skills.” I don’t know about other industries, but working in tech, I find this to be true and I’m not immune to this either. A common example of this are online forums (ex: StackOverflow), where developers may swiftly mark your question for closure or down vote it. You’re lucky if they specify the reason for their decision.