In this session, we’ll explore the browser-use capabilities of advanced AI models, specifically focusing on how they can access, retrieve, and interpret up-to-date web data. This session will demonstrate how the integration of browsing functionality enhances an AI’s real-time knowledge and expands its ability to answer dynamic queries.
- Objective: Understand the mechanisms that enable AI models to retrieve current, web-based information and process it.
- Evaluation: Test and evaluate the performance of a browser-enabled AI system with expert-level queries that require real-time data retrieval.
- Analysis: Compare the strengths and weaknesses of models that integrate browser-use capabilities versus those that rely solely on pre-trained data.
To refer to this session's presentation, please refer to this slide deck.
We’ll also demonstrate live browsing capabilities, showing how the AI retrieves real-time information from the web and answers advanced queries based on current, publicly available data.
Follow the instructions from this github repo.
For any questions or inquiries, please contact us at [[email protected]].