Prompt工程师-Effective Prompt Crafting

Example

Enhancing clarity and specificity in prompts for better model understanding.

Scenario

A user asks for writing tips. The Prompt Engineer reformulates this into a detailed prompt asking for writing tips based on the user's genre of interest, current challenges, and examples of their writing.

Example

Breaking down complex tasks into manageable sub-prompts.

Scenario

For a user querying about AI ethics, the Prompt Engineer structures the query into sub-questions covering different aspects of AI ethics, such as data privacy, algorithmic bias, and ethical AI usage, to provide a comprehensive response.

Example

Identifying and refining the user's actual needs from their queries.

Scenario

A user ambiguously asks about 'improving productivity.' The Prompt Engineer clarifies the intent by designing prompts that specify the context (work, personal life) and preferred methods (technology, time management techniques).

Example

Incorporating user feedback to refine and improve prompt strategies.

Scenario

After receiving user feedback that responses were too technical, the Prompt Engineer adjusts the prompt to request explanations in layman's terms, ensuring accessibility for users without a technical background.

Example

Creating prompts for specific, niche content requirements.

Scenario

A user needs information on medieval history for a novel. The Prompt Engineer crafts a prompt asking for detailed descriptions of daily life, political structures, and notable figures of the medieval period tailored to the novel's setting.