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公开(公告)号:US12175966B1
公开(公告)日:2024-12-24
申请号:US17361003
申请日:2021-06-28
Applicant: Amazon Technologies, Inc.
Inventor: Yi-An Lai , Yi Zhang , Roger Scott Jenke , Meghana Puvvadi , Shang-Wen Daniel Li , Peng Zhang , Jason P. Krone , Garima Lalwani , Niranjhana Nayar , Kartik Natarajan
Abstract: 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.