AI Takes the Wheel: New Advances in Autonomous Driving
Azeem Azhar's Exponential View
Training Autonomous Vehicles using Large Language Models
This chapter discusses the process of training autonomous vehicles (AVs) using large language models as an analogy. It explains how AVs are trained on massive amounts of data using dedicated processors, and then fine-tuned for specific use cases. The chapter also highlights the convergence of different AI architectures into a single transformer architecture and the importance of diverse sets of data in training AVs.
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