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AssigneeCitibank, N.A.
InventorsJulisia Jackson, James Myers, Chamindra Desilva, Shardul Malviya, Wayne Liao, Deepak Jain, Samantha Cory, Mariusz Saternus, Daniel Lewandowski, Biraj Krushna Rath, Stuart Murray, Philip Davies, Payal Jain, Tariq Husayn Maonah, Vishal Mysore, Ramkumar Ayyadurai
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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.
A system comprising:
A non-transitory computer-readable storage medium comprising instructions stored thereon, wherein the instructions when executed by at least one data processor of a system, cause the system to:
A computer-implemented method for selecting models for distributed data queries, the method comprising:
Dependencies are inferred from the claim text.