Liveperson, Inc.

Amazon Technologies, Inc.

Joseph Bradley

Matthew Dunn

Kristen Howell

Jian Wang

Thomas Jay Hoover

Alexander Michael Spinelli

Nick Ciubotariu

Lakshya Bhagat

Albert J Kennis

Neil Christopher Fritz

Wei Zhang

William Kevan Bennett Kennedy

Nathan Andrew Sterken

Andrew James Will

Michael Albert Galassi

Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.

Domain adaptation of AI NLP encoders with knowledge distillation

Disclosed are various embodiments for selecting page layouts based upon an outcome prediction associated with a request for a content page. Session variables associated with a request can be extracted. A score can be calculated based upon the session variables. The score can be generated by a machine learning engine that is trained using archived session data. A page layout can be selected based upon the generated score and a respective content page generated.

Generating a page layout based upon analysis of session variables with respect to a client device

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Seattle, WA, United States of America

Joseph Bradley