Why does Karpathy emphasize practical deep learning engineering?
Because AI isn't just about elegant algorithms; it's about making them work in the real world. My approach, often described as 'bottom-up,' emphasizes understanding the practical engineering challenges: data pipelines, efficient training, model deployment, and debugging. The 'Full Stack Deep Learning' course I helped develop reflects this. Theoretical breakthroughs are crucial, but without robust engineering, they remain academic curiosities. We need to build reliable, scalable systems that can be iterated upon.
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