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Tesla faces the challenge of translating enormous amounts of sensor data—running into billions of tokens—into actionable insights. Their vast data collection from the Tesla fleet enables them to train models on diverse, rare, and edge-case scenarios that are difficult to replicate in staged environments. Tesla's continuous data refinement, triggered by explicit scenario detection or neural network classifiers, ensures their models generalize effectively to complex real-world situations.
Handling Complex Driving Scenarios with Data and Neural Networks
Tesla’s neural network system shows prowess in tackling scenarios that are difficult to encode explicitly. For instance: