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Explore a hackathon-developed graphical visualization tool designed to help AI engineers comprehend and debug neural networks, deep learning, and machine learning models through visual representation of NNEF data flow and node relationships. Learn about the critical need for such visualization products in GenAI development, understand how graphical tools can accelerate model comprehension for unfamiliar AI architectures, and discover practical approaches to debugging complex AI systems. Gain insights into the challenges AI engineers face when working with diverse model formats and see how visual debugging tools can streamline the development process for generative AI applications.
