公开(公告)号：US20240346246A1

公开(公告)日：2024-10-17

申请号：US18300930

申请日：2023-04-14

Applicant: ServiceNow, Inc.

Inventor： Torsten Scholak ,  Dzmitry Bahdanau

IPC: G06F40/279

CPC classification number: G06F40/279

Abstract: A trained natural language model is provided that uses an input session history to generate outputs to an interpreter. Outputs to the interpreter, and inputs responsively received therefrom, are added to the history to generate additional model outputs as the history is updated. The model is trained to engage in goal-oriented dialog with the interpreter and with the user (optionally through interpreter function calls) to identify the user's goals, to learn information about modules, functions, and methods available in the interpreter that are relevant to the user's goals, and to execute function calls and/or commands, based on the learned information, that accomplish the user's goals. The use of a history that may be completely blank at the beginning of the session reduces the computational requirements of running the model, as well as allowing the model to ‘update’ itself as the available modules are update, added, or removed.