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Explore a 33-minute conference talk on cloud-based generative AI supporting preliminary engineering design, presented by Puneet Jain from Databricks and Shiva Babu from Rolls-Royce. Discover how their collaborative work optimizes Conditional Generative Adversarial Network (cGAN) training processes, resulting in a 30-fold reduction in runtime through distributed computing for parallel hyper-parameter tuning. Learn about the integration of MLflow for transparency and reproducibility, and the implementation of Unity Catalog for governance in compliance-centric industries like aerospace. Gain insights into enhancing design space exploration capabilities, overcoming parametric model limitations, and enabling innovative design concepts through free-form geometry modeling approaches. Access additional resources on LLM and MLOps, and connect with Databricks through various social media platforms for further information.
