Comparing embedding shapes
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.
When analyzing large documents, I want have a way to identify relationships and compare data effectively.
- Searching shapes: You can search by providing relevant embeddings or try reverse searching by providing a desired shape.
- Visualize Meaning: Identify relationships in large documents by visualizing embeddings of selected features and comparing them as overlapping shapes.
More of the Witlist
In Arc, a playful pinch interaction lets you quickly distill any webpage into a brief summary, capturing the essence of the content in moments.
Realtime generation allows people to manipulate content instantly, giving them more agency in using generative AI as a tool for exploration.
Automatic model switching in AI can boost efficiency by selecting the most appropriate model for each query, ensuring a balance between quick and accurate responses.
Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.
Starting with a blank canvas can be intimidating, but providing prompt starters can help individuals overcome this initial hurdle and jumpstart their creativity.
Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.