Example Concept: AI models generate code by predicting the next token or sequence of tokens based on the input they receive. They are trained on vast datasets of code, learning syntax, common patterns, and best practices. This allows them to complete code snippets, suggest improvements, or even generate entire functions or scripts from natural language descriptions.