Part 3/9:
A key step involves labeling each piece of user data to provide context for GPT-3. For example, labels like "name," "company," or "greatest strength" help organize the information, enabling the AI to produce more coherent and relevant outputs.
Shapiro emphasizes the importance of proper JSON formatting—particularly avoiding trailing commas that can cause errors during parsing. He demonstrates how to build a structured data block that combines all input prompts with their labels, ready for use in prompt preparation.
Crafting Effective Prompts for GPT-3
The core of his method lies in forming well-structured prompts for GPT-3. For instance, a prompt might read:
"Given the following information, write a highly professional cover letter."