Vision Transformer Deep Dive: ViT to Modern Descendants
Build ViT from pixels, then trace DeiT, Swin, DINOv2, SAM, LLaVA, and practical latency optimizations.
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.
Build ViT from pixels, then trace DeiT, Swin, DINOv2, SAM, LLaVA, and practical latency optimizations.
Deep dive into NVIDIA GPU Xid 31 MMU faults: how GPU virtual memory works, what causes page table walk failures, and how we eliminated 28 daily crashes in a production video pipeline processing 7,000+ videos.
The definitive reference for every NVIDIA Xid error code: what each means, severity classification, triage flowcharts, and whether you need to fix your code or RMA your GPU.
Step-by-step CUDA matrix multiplication optimization with 9 interactive visualizations. From naive kernels through shared memory tiling to near-cuBLAS speeds.
Visual exploration of floating-point arithmetic and numerical stability. Learn why NAdam fails in FP16 and how machine epsilon affects deep learning.
Deep dive into how SAM resolves point prompt ambiguity through three-mask output design, IoU prediction, and intelligent mode switching.