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Adapting LLMs for Polymer-Composite AM: A Hybrid RAG & Fine-Tuning Blueprint
This blueprint outlines a technical strategy for domain-adapting Large Language Models (LLMs) to the niche field of polymer-composite additive manufacturing (AM), leveraging a combination of Retrieval-Augmented Generation (RAG) and fine-tuning techniques. We focus on overcoming the inherent challenges of specialized terminology, complex process parameters, and the need for accurate, context-aware responses.






