Snowflake Inc.

Rajhans Samdani

Jay Srinivasan

Nathaniel Ackerman Rook

David Colby Kaneda

Marissa Mary Montgomery

Pratyus Patnaik

Suchit Agarwal

Rahil Bathwal

Ashwin Devaraj

Seth Michael Li

Vivek Raghunathan

Danmei Xu

Daniel Fernando Campos

Yash Pande

Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.

System for routing of requests

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.

Enhanced searching using fine-tuned machine learning models

Growing community of inventors

Belmont, CA, United States of America

Rajhans Samdani