Help the user understand the AI system’s behaviour and present a variety of outputs in response to a single user input or query.

Leveraging Multiple Outputs causes

1. Enhanced creativity and learning: Multiple outputs encourage exploration, facilitates learning and discovery.

2. Increased user satisfaction: Users choose the output that best suits their needs.

3. Improved Decision-Making: Comparing options leads to more informed choices and opportunities for co-editing.

4. Reduced Bias: Diverse outputs mitigate potential biases in the AI model and creates more personalised experiences.

Clarify the purpose of generating Multiple Outputs

It’s important to determine whether the primary goal of generating multiple outputs is to

1. Enhance the underlying ML model’s performance

2. Enable a more effective human-AI collaborative editing experience

   
   

For instance, Grammarly provides multiple options to collect feedback and refine Brand tone.

Whereas  Mid-journey and Google Gemini provides answers in the form of multiple drafts, indicating that it came up with varied answers for better discovery and collaboration.