Master cutting-edge techniques for designing efficient AI models, focusing on Microsoft's BitNet architecture and quantization techniques for reduced memory and computational requirements
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Learning Objectives
Understand efficiency challenges in modern AI model design
Master BitNet 1.58-bit quantization techniques
Learn CPU-optimized inference architectures
Implement resource-efficient model deployment strategies
Apply advanced model compression and optimization techniques