Example of a Name:Content Prompt for Conversation

Example of a Name:Content Prompt for Question-Answering

Example of a Code-like Prompt for Machine Translation

Storing Prompt Data in Key-Value Formats like JSON

Example of a Code-Style Demonstration for English-to-German Translation

Examples of Key-Value Pairs in a Code-Style Translation Prompt

A developer is building a system to extract structured information from customer support emails. Their initial prompt, 'From the following email, extract the customer's name, order number, and the core issue,' often results in the language model producing a long, narrative paragraph that mixes the requested information with other details. Which of the following best explains why adopting a name:content formatting style, where the model is prompted to complete fields like customer_name:, order_number:, and issue_summary:, would be a more effective strategy?

Designing a Structured Prompt for Recipe Generation

A developer is creating a few-shot prompt to teach a language model how to convert informal user requests into a structured JSON object for an internal API. The goal is to extract the user's name and the item they want to order. Which of the following prompts most effectively uses a clear, key-value formatting style to structure the task and guide the model toward a reliable output?

Example of a Name:Content Prompt for Task Specification