Realtime image generation
Realtime generation allows people to manipulate content instantly, giving them more agency in using generative AI as a tool for exploration.
When using generative AI for real-time image generation, I want to manipulate content instantly, so I can explore and create with more agency and flexibility.
- Speed vs. Quality in Generative AI: With generative AI, there are new parameters to consider, such as speed and quality. In the creative process, where trying out new ideas is crucial, speed often takes precedence over quality.
- Empowering Creativity through Multiple Modalities: Providing people with multiple modalities, such as shapes and text, introduces new ways of interacting and thinking, empowering more people to create.
More of the Witlist
Generating multiple outputs and iteratively using selected ones as new inputs helps people uncover ideas and solutions, even without clear direction.
AI can enhance live chat streams by analyzing real-time data, identifying trends, and driving interactive elements like voting to boost audience engagement.
Embedding models can rank data based on semantic meaning, evaluating each individual segment on a spectrum to show its relevance throughout the artifact.
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.
Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.
Embedding models can rank content along virtually any dimension. This capability provides significant value by enabling users to explore and analyze the embeddings to create a spectrum of any features.