AMGPT: A large language model for contextual querying in additive manufacturing

AMGPT: A large language model for contextual querying in additive manufacturing

Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-level outline but lack the capacity to return detailed instructions on manufacturing and material properties of novel alloys...

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Bibliographic Details
Main Authors: Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Additive Manufacturing Letters
Subjects:
Large language models
Retrieval-augmented generation
Machine learning
Contextual querying
Laser powder bed fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S2772369024000409

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http://www.sciencedirect.com/science/article/pii/S2772369024000409

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