
Choosing the Right AI Model for the Job
Imagine you have access to several AI models. One is extremely powerful but expensive. Another is fast and cheap but less capable. A third is excellent at coding but weaker at reasoning. Which on
At this point, you already understand two major stages in the life of an AI system. First: the model learns language patterns through pretraining Then: the model is shaped into a helpful assistant
In the last lesson, you learned about the first stage of AI training: Pretraining. That is the stage where the model reads massive amounts of text and learns language patterns. But after pretraining
When people first start using AI, one of the biggest questions they ask is: “How does the AI know all this stuff?” It feels almost impossible at first. You ask a question about biology, history, cod
At this point, you already understand two important ideas: words become embeddings (numbers) layers transform those numbers step by step Now we arrive at the next big question: How does the AI dec
In the last lesson, you saw something important: Words are not processed as words. They are converted into numbers called embeddings. So now we have a new question: Once everything becomes numbers…
When you type something into an AI system, the computer does not see words the way you do. You see meaning. The computer sees symbols. So before AI can do anything useful with language, it has to conv