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1. Coding exercise focused on mapping a real-time convolution task onto hardware, which involved discussions on memory organization, compression strategies, input preprocessing, and implementation details. 2. Advances in AI models (both Large Language Models and Large Vision Models) and their mapping efficiency on various hardware architectures.
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