LLM4CAD-Editor introduces a feature-name DSL and 32B-parameter fine-tuned model that achieves 96.3% parsing accuracy on parameter edits and 82% intent satisfaction on functional edits, with 1.4x better robustness than Python CAD scripting.
Cadia- logue: A multimodal llm-powered conversational assistant for intuitive parametric cad modeling
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LLM4CAD-Editor: An Intent-Aware Large Language Model Framework for Multi-Level Computer-Aided Design Editing
LLM4CAD-Editor introduces a feature-name DSL and 32B-parameter fine-tuned model that achieves 96.3% parsing accuracy on parameter edits and 82% intent satisfaction on functional edits, with 1.4x better robustness than Python CAD scripting.