State of the Art
Mark discusses how chasing state-of-the-art models leads to complexity as new features are added, making it easier to stumble upon groundbreaking innovations. He highlights the challenge of verifying new advancements and the shift towards hype-driven development in the field of machine learning.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
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