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Large Language Model Agent as a Mechanical Designer
April 29, 2024, 4:42 a.m. | Yayati Jadhav, Amir Barati Farimani
cs.LG updates on arXiv.org arxiv.org
Abstract: Conventional mechanical design paradigms rely on experts systematically refining concepts through experience-guided modification and FEA to meet specific requirements. However, this approach can be time-consuming and heavily dependent on prior knowledge and experience. While numerous machine learning models have been developed to streamline this intensive and expert-driven iterative process, these methods typically demand extensive training data and considerable computational resources. Furthermore, methods based on deep learning are usually restricted to the specific domains and tasks …
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