
Alexandr Wang of ScaleAI: in AI your data writes the program
The Robot Brains Podcast
The Role of Learning Models in Accelerating the Labeling Process
Tesla has been very presentations on this actually around how they build up their data engine and where they apply learning models in the process. There's a lot of sort of like judgments that it might be easier for a or a machine to make assuming that they have enough of a prior. That prior needs to be usually given by, you know, that prior might be hard for the machine to produce but may be easy for the human to produce. The goal is to get really high quality data that matches as well as possible the data that you want your model to predict.
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