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公开(公告)号:US20240386315A1
公开(公告)日:2024-11-21
申请号:US18318524
申请日:2023-05-16
Applicant: ADOBE INC.
Inventor: Thomas BOUCHER , Tanay ANAND , Stephane LECERCLE , Saurabh GARG , Pranjal PRASOON , Nikaash PURI , Mukul LAMBA , Milan AGGARWAL , Jayakumar SUBRAMANIAN , Francoise CORVAISIER , David MENDEZ ACUNA , Camel AISSANI , Balaji KRISHNAMURTHY
Abstract: Methods and systems are provided for a transformer model for journey simulation and prediction. In embodiments described herein, training data is obtained from stored journeys. The training data for each journey indicates customer interactions with each event in the sequence of events of the journey. A machine learning model is trained using the training data to simulate customer interaction with an input journey. The trained machine learning model then generates a simulation of customer interaction with an input journey and the results of the simulation are displayed.
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公开(公告)号:US20250124620A1
公开(公告)日:2025-04-17
申请号:US18380059
申请日:2023-10-13
Applicant: Adobe Inc.
Inventor: Tarun ARORA , Tanay ANAND , Siddarth RAMESH , Shripad DESHMUKH , Pranjal PRASOON , Piyush DEWNANI , Md anis ALAM , Jayakumar SUBRAMANIAN , Gaurav SATIJA , Diwakar Reddy YERRAGUNTA , Deepthi AMIRTHAGADESWARAN , Balaji KRISHNAMURTHY , Avinash KATIYAR
Abstract: Various disclosed embodiments are directed to deriving, via a language model, a summary of data by converting or encoding table data into one or more natural language sentences, which are then used as input to the language model for generating the summary. One or more embodiments are additionally or alternatively directed to deriving, via a language model, a response to a user question or command via a chat interface by providing the language model with the generated summary as input. In this way, for example, the language model can use the summary as a prompt or other target context for providing a response.
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