Model Deployment Challenges
The discussion highlights the often-overlooked importance of deploying machine learning models, especially in human-interactive contexts. As models evolve and adversarial attacks become more sophisticated, understanding the underlying principles of machine learning behavior is crucial. The conversation emphasizes the need for continuous adaptation and vigilance in reliability engineering to address these dynamic challenges.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
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