Amazon Technologies, Inc.

Niranjhana Nayar

Yi Zhang

Peng Zhang

Roger Scott Jenke

Meghana Puvvadi

Jason Krone

Shang-Wen Daniel Li

Kartik Natarajan

Yi-An Lai

Garima Lalwani

Techniques for updating a machine learning model based on user interactions are described. In particular, in some examples, user interactions with a chatbot provide aspects of a data set to be used to train or fine-tune a ML model. In some examples, this is accomplished by collecting data from a first plurality of interactions with a machine learning (ML) model; generating a variant of the ML model using the collected data by: filtering the collected data to create a first data set, training the ML model based on the first data set to generate an adapted ML model, and fine-tuning the adapted ML model on a second data set, different than the first data set to generate the variant of the ML model.

Adaptations of task-oriented agents using user interactions

Growing community of inventors

Seattle, WA, United States of America

Niranjhana Nayar