Evolving outputs
Generating multiple outputs and iteratively using selected ones as new inputs helps people uncover ideas and solutions, even without clear direction.
When exploring options, I want multiple outputs to help me refine my preferences and narrow down what I am looking for, so I can achieve more satisfactory outcomes.
- Patterns overtime: Using preferred outputs as new inputs creates a trajectory that an AI model can recognize and leverage, generating increasingly refined and relevant outputs.
- Exploring Suggestions: The process of making suggestions and progressively narrowing down options can lead to more personalized and satisfactory outcomes. Ideal for situations where users may not fully know what they want.
More of the Witlist
Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.
Comprehend and compare large documents by visualizing embeddings and their scores, enabling a clear and concise understanding of vast data sources in a single, intuitive visualization.
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.
LLM’s are great at organizing narratives and findings. It's helpful to see the sources that support these conclusions, making it easier to understand the analysis and where it comes from.
Textual information often misses intuitive cues for understanding relationships between ideas. AI can clarify these connections, making complex information easier to grasp quickly.
Based on your selection and situation, context menus can help you discover actions and access them quickly.