Querying data using specialized and generalized artificial intelligence models

US12339886B1 · kind B1 · utility

Assignee

• CITIBANK, N.A. · US

Inventors

• Julisia Jackson · Irving, US
• James Myers · New York, US
• Chamindra Desilva · London, GB
• Shardul Malviya · London, GB
• Wayne Liao · London, GB
• Deepak Jain · Garland, US
• Samantha Cory · London, GB
• Mariusz Saternus
• Daniel Lewandowski
• Biraj Krushna Rath · London, GB
• Stuart Murray · London, GB
• Philip Davies · London, GB
• Payal Jain · London, GB
• Tariq Husayn Maonah · London, GB
• Vishal Mysore · Mississauga, CA
• Ramkumar Ayyadurai · Jersey City, US

Key dates

• Filing date: Feb 24, 2025
• Grant date: Jun 24, 2025
• Expiry date: Feb 24, 2045

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/383
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The systems and methods disclosed herein relate to querying data using artificial intelligence models. A generalized model receives an output generation request and partitions it into segments mapped to specific domains, where each domain indicates associated databases and guidelines. The segments are routed to domain-specific models trained on domain-specific data, which generate query fragments by comparing performance metrics and system resource usage metrics. The query fragments are aggregated into an overall query that satisfies guidelines across domains. The systems and methods can include a feedback loop to adjust the domain-specific models using user interactions and performance metrics to dynamically adapt to a skill level or experience of the user.