Incentivize giving feedback
Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.
When generating outputs, I want multiple suggestions to explore and identify my preferences, so I can choose the best option.
- Personalized Outputs through Progressive Refinement: The process of making suggestions and progressively narrowing down options can lead to more personalized and satisfactory outputs.
- Ideal for Uncertain User Preferences: This approach is ideal for situations where users may not fully know what they want. Many tools that take a longer time to generate output provide at least two options to choose from. For example, Suno and Midjourney do this.
- User Preference Feedback: Allowing users to pick between multiple outputs informs the model which one is preferred.
More of the Witlist
When an observation is added to the context from an implicit action and a prediction is made, users should be able to easily evaluate and dismiss it.
Provide relatable and engaging translations for people with varying levels of expertise, experience and ways of thinking.
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.
Starting with a blank canvas can be intimidating, but providing prompt starters can help individuals overcome this initial hurdle and jumpstart their creativity.
Ordering content along different interpretable dimensions, like style or similarity, makes it navigable on x and y axes facilitating exploration and discovery of relationships between the data.
Input design concepts in small bits and see the cumulative output in real-time. Explore different combinations and immediately visualize the results, making the creative process interactive and flexible.