Intuit, Inc.

Nutanix, Inc.

Vaishali Gupta

Ranjan Parthasarathy

Vinod Gupta

Abhijit S Khinvasara

Ramesh U Chandra

Pritesh Lahoti

Sumangal Mandal

Amit Kaushal

Akanksha Deswal

Certain aspects of the disclosure provide a method for code generation, including: selecting a code generation use case type; identifying the target entity in a graph knowledge base; extracting a graph segment of the graph knowledge base; identifying a set of methods in the graph segment; identifying a first method of the set of methods that has a largest context size of the set of methods; determining an overlapping context size between the first method and each other method of the set of methods, and selecting a maximum number of other methods of the set of methods in order of decreasing overlapping context size with respect to the first method, such that a total context size of the maximum number of other methods of the set of methods and the first method does not exceed a maximum context window size associated with a machine learning model.

Enhance codegen efficiency by eliminating redundant contexts in lossless manifold optimization

Systems and methods are provided for enhancing vector searches for question-and-answer platforms.

Systems and methods for enhancing vector searches for question-and-answer platforms

A method includes receiving, by a host server on a public cloud including one or more physical data centers associated with one or more logical zones, a pairing request by a client device associated with a private cloud, allocating, by the host server, access to resources on the one or more physical data centers to the client device, and pairing, by the host server, the private cloud to the public cloud based on receiving an identity provider token from an identity provider.

Systems and methods for pairing on-premise clusters to clouds using identity service providers

Growing community of inventors

Bengaluru, India

Vaishali Gupta