Prompt Enhancement Service-prompt refinement for better responses.

Example

A user submits a complex question with multiple parts. The service breaks down the query into manageable segments, ensuring each aspect is addressed comprehensively.

Scenario

In an academic setting, a student may ask for an explanation of a historical event and its implications. The service refines the prompt by separating the request into two parts: a summary of the event and a discussion of its long-term effects, which helps the GPT model provide a more structured and detailed response.

Example

A user requests information on 'current trends.' The service identifies the ambiguity and asks for clarification, narrowing the prompt to 'What are the current trends in artificial intelligence research?'

Scenario

A business professional seeking market insights might use this function to obtain more relevant data by clarifying their request for trends in a specific industry or time frame, leading to more actionable insights.

Example

A user asks, 'Can you help with my project?' without providing details. The service enhances the prompt by asking for context, such as the project type, goals, and specific areas where assistance is needed.

Scenario

In a collaborative environment, a team member might use this service to get tailored support on a project by clearly defining the task and desired outcome, ensuring the GPT model can provide targeted suggestions or solutions.