Exploring the evolution of generative AI from large language models to sophisticated multimodal systems, covering transformer architectures, inference optimization, and ethical considerations.
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Learn about model compression techniques, efficient architectures, runtime optimization, and hardware acceleration strategies that enable sophisticated AI on smartphones, IoT devices, and embedded systems.
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A comprehensive exploration of transformer architecture, from self-attention mechanisms to modern variants like GPT and BERT. Covers training techniques, efficiency improvements, and applications beyond NLP.
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