Pete Florence
Everything Pete personally uses, recommends, or has created — plus things they don't recommend — sourced from their own show and appearances on other podcasts.
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"I did my PhD at MIT and then I was at Google DeepMind for four and a half years. A lot of my research was focused in what I would broadly say is how do we bring large-scale multimodal learning into robotics."
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"Back in the early 2010s, people would use what was called ImageNet pre-training. It was a large dataset that people would train vision models on, and then people would see a little bit of benefit from starting on training on ImageNet and then using that same model to train on other types of vision tasks."
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"It was a little Nespresso machine, and I had to open a drawer, and I had to open a new box of Nespressos, and I had to dump them out, and I had to grab the little Nespresso capsule and orient it — hard mode making yourself an iced latte."
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