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22min chapter
#159 Peter Chen: Building the AI-Driven Future of Robotics
Eye On A.I.
Foundation Model Architecture and Representations
This chapter explores the architecture of a foundation model used in robotics, discussing different approaches to representing the world and the use of large language models for predictions. It highlights the combination of convolution, attention, and structured types of attention in the model architectures. The chapter emphasizes the importance of compact, abstract representations compared to pure pixels for successful outcomes.
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