Quantization Deep Dive: From FP32 to INT4 - The Complete Guide
Master neural network quantization with interactive visualizations. Explore QAT, PTQ, GPTQ, AWQ, and SmoothQuant methods for efficient model deployment.
Deep dive into machine learning, computer vision, and software engineering. Expert insights on AI, local LLMs, quantization, and practical implementation details from real-world projects.
Master neural network quantization with interactive visualizations. Explore QAT, PTQ, GPTQ, AWQ, and SmoothQuant methods for efficient model deployment.
Explore TensorRT optimization: layer fusion, INT8 quantization, kernel auto-tuning, and deployment strategies with 8+ interactive visualizations.
Dive deep into Kernel Fusion, a technique that combines multiple neural network operations into unified kernels improving performance in deep learning models.
Visual guide to YOLOv5 architecture for beginners. Understand backbone, neck, and detection head components with step-by-step visualizations.
Deep dive into CPython internals including bytecode compilation, memory management, the GIL, object model, and garbage collection with interactive visualizations.
How C++ compilers transform source code through preprocessing, parsing, optimization, and code generation. Interactive visualizations included.