Part 2/9:
At the core, Codex operates with models like code-davinci-02, which are fine-tuned for code generation and understanding. The default temperature is set to zero, indicating deterministic output—meaning it produces the same result given the same prompt, ideal for precise coding tasks. Adjusting the temperature can introduce creativity, useful in exploratory coding or brainstorming.
When interacting with Codex, users input prompts or comments describing what they want, and the model responds with corresponding code snippets. The interface supports multiple parameters, which Shapiro intends to cover in a future video, but for now, understanding the basics suffices to get started.