Part 4/9:
Followed by inserting the user's responses in a formatted manner.
He incorporates both a static prompt and dynamic data, replacing placeholders with the user's input, to guide GPT-3 in generating tailored cover letters. He also discusses adding sample examples (few-shot learning) to improve output quality, which helps GPT-3 better understand the preferred format and tone.