ENHANCED SEARCHING USING FINE-TUNED MACHINE LEARNING MODELS

ENHANCED SEARCHING USING FINE-TUNED MACHINE LEARNING MODELS

An advanced search system leverages a pre-trained large language model to enhance user query responses. The system, equipped with hardware processors, a search query via an interface and accesses a pre-trained large language model designed to respond to the search query. The system fine-tunes the mo...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Raghunathan, Vivek, Devaraj, Ashwin, Pande, Yash, Campos, Daniel Fernando, Li, Seth Michael, Bathwal, Rahil, Xu, Danmei, Samdani, Rajhans
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:An advanced search system leverages a pre-trained large language model to enhance user query responses. The system, equipped with hardware processors, a search query via an interface and accesses a pre-trained large language model designed to respond to the search query. The system fine-tunes the model to generate a task-specific generative model. The system employs the task-specific generative model to generate a search result to the search query and analyzes the search result based on a performance metric associated with the task-specific generative model. The system refines the task-specific generative model based on the analyzing of the search result.