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A5116335652Conventional predictive modeling of parametric relationships in manufacturing processes is limited by the subjectivity human expertise and intuition on one hand cost time experimental data generation other hand. This work addresses this issue establishing a new Large Language Model (LLM) framework. The novelty lies combining automatic extraction process-relevant knowledge embedded literature with iterative model refinement based small amount data. approach evaluated three distinct that are...
10.48550/arxiv.2502.12185
preprint
EN
arXiv (Cornell University)
2025-02-14
10.1016/j.cirp.2025.04.065
article
EN
cc-by-nc-nd
CIRP Annals
2025-04-01
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