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FILTERING MATERIALS BASED ON USER INTENT CAPTURE USING LARGE LANGUAGE MODELS

发明专利审中
20权利要求 · 3 独立
§ Ⅰ

卷宗概要

申请人

AUTODESK, INC.

发明人

Andrew John HARRIS; Daniele GRANDI; Kendra Ann WANNAMAKER; Michael CHEN; Allin Irving GROOM

IPC 分类

G6F 16/242G6F 16/248G6F 30/20G6F 119/18

CPC 分类

G6F16/2425G6F16/248G6F30/20G6F2119/18

Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.

原文(中文)

Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.