Model Quantization: LLM Compression Techniques
Master model quantization algorithms that compress large language models to 4-bit, 2-bit or lower while maintaining accuracy, enabling efficient deployment.
Model Optimization
Sparse Attention Algorithms: Efficient Transformers at Scale
Master sparse attention algorithms that reduce Transformers quadratic complexity to linear, enabling efficient processing of long sequences in modern AI systems.
Edge AI: Running Machine Learning Models on Edge Devices 2026
Master edge AI implementation strategies, model optimization techniques, and deployment patterns for running ML models on edge devices.