公开(公告)号：US20250164978A1

公开(公告)日：2025-05-22

申请号：US18513466

申请日：2023-11-17

Applicant: Adobe Inc.

Inventor： Siddarth Ramesh ,  Tarun Arora ,  Tanay Anand ,  Shreeya Singh ,  Md Anis Alam ,  Jayakumar Subramanian ,  Avinash Katiyar

IPC: G05B19/418

Abstract: Certain aspects and features of the present disclosure relate to providing contextually grounded recommendations using a large language model. For example, a method involves receiving domain specific data for a simulation and transforming the domain specific data into a labeled, natural language description of the domain specific data. The method also involves providing the labeled, natural language description and a classification task prompt with interaction history to a large language model (LLM) to generate a contextually enhanced LLM configured to produce context-aware output. The method further involves outputting, using the contextually enhanced LLM, an interactive list of scored actions corresponding to the simulation. The interactive list can be used to produce a sequence of actions to direct a process or control a machine.