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.
A detailed visualization of the file structure of GGML files, including the mapping of blocks to their corresponding positions in the file.
Dive deep into Kernel Fusion, a groundbreaking technique that combines multiple neural network operations into unified kernels, significantly improving performance and efficiency in deep learning models.
YOLOv5 Simplified: A Beginner's Visual Guide to Understanding Each Step of the YOLOv5 Model Architecture where we will be visualizing the YOLOv5 model architecture and its components.
How OpenMMLab projects use the Registry Pattern to dynamically load models
Explore the fascinating concept of magic numbers in computing and discover how 4A464946 serves as the unique identifier for JPEG files.
LLMs and Text Encoding
A detailed explanation of image encoding, including the different types of image encoding and how they work.