AdditiveLLM: Large language models predict defects in metals additive manufacturing
In this work we investigate the ability of large language models to predict additive manufacturing defect regimes given a set of process parameter inputs. For this task we utilize a process parameter defect dataset to fine-tune a collection of models, titled AdditiveLLM, for the purpose of predictin...
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| Main Authors: | Peter Pak, Amir Barati Farimani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Additive Manufacturing Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277236902500026X |
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