Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
Gradient Dissent: Conversations on AI
The Hardest Part of the Life Cycle of an ML Model
Lucas: When I was working on my PhD, I would spend all this time in class working on mathematics and statistics. And all this time when I was doing research, cleaning data. He says the gap between what you studied and what you did was so unbelievably large. Lucas: An under appreciated area is the data pipeline, the managing of these interesting data sets. You can't work through that without a strategic vision around what data is going to be collected.
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