| Abstract Scope |
Generative Artificial Intelligence (GenAI) models have the potential to play a crucial role in Additive Manufacturing (AM) by addressing challenges such as design optimization, defect detection, process automation, and many more. However, the fragmentation of research efforts in the field limits the efficient sharing of methodologies, datasets, models, and findings within the research community. To address segmentation issues, this paper introduces the development of a centralized platform for organizing and sharing GenAI models that support AM-related projects. The implementation of the platform hosted on GitHub Pages is also presented as a real-world application. By creating a centralized resource, the platform helps researchers work together more efficiently, share AI advancements, and apply them effectively in AM. |