Visual grounding
Using the source input as ground truth will help trust the system and makes it easy to interpret its process and what might have gone wrong.
When checking data, I want to be able to see how the system arrived at its answer, so I can trust the data and identify any potential errors in the process.
- AI Transparency and Explainability: Make AI systems transparent and understandable by explaining how and why decisions are made.
- Multimodal Context: In this example we used the context of an image of a receipt, but it can also include other modalities, such as audio.
More of the Witlist
Based on your selection and situation, context menus can help you discover actions and access them quickly.
You should control how products and services (not) access your data through a manageable profile. This allows you to create a relevant context across many platforms while maintaining control.
Empower users to make decisions and give feedback quickly or engage more deeply when needed in natural language.
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.
Starting with a blank canvas can be intimidating, but providing prompt starters can help individuals overcome this initial hurdle and jumpstart their creativity.
Proactive agents can autonomously initiate conversations and actions based on previous interactions and context providing timely and relevant assistance.