Amazon Technologies, Inc.

Jeffrey Thomas Svajlenko

Xiao Zhang

Suthee Chaidaroon

Rick Nayar

Iman Keivanloo

Sidharth Gulati

Regina M Joy

Shruti Subramaniyam

Systems and methods for training and performing query answering for programming related query answering are disclosed. During a training phase, queries and answers of a training dataset may be encoded as vectors into the Euclidean space. Loss values for query-answer pairs, duplicate queries, and augmented queries may be determined using loss functions and may be used to adjust the model of the encoder. During the operation phase, a query may be received and encoded into the Euclidean space. The encoded answer most proximate to the encoded query may be decoded and provided as the most relevant answer.

Neural search for programming-related query answering

Growing community of inventors

Redmond, WA, United States of America

Jeffrey Thomas Svajlenko