initramfs: The Initial RAM Filesystem Explained
Deep dive into initramfs (initial RAM filesystem), understanding the Linux boot process, early userspace, and how the kernel transitions from boot to the real root filesystem.
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
Understanding attention mechanisms in neural networks, from basic concepts to advanced implementations.
Core concepts and building blocks of deep neural networks.
Graphics processing units and parallel computing concepts.
Memory architectures, management, and optimization in AI and computing systems.
Techniques and strategies for optimizing AI and computing performance.
Modern C++ concepts, best practices, and advanced programming techniques.
Fundamental data structures and their implementations with interactive visualizations.
Deep dive into CPython internals, from bytecode compilation to memory management and the GIL.
Essential mathematical concepts for machine learning with interactive visualizations.
Deep dive into Linux internals, boot process, kernel concepts, and system architecture.
Client-server communication patterns, from polling mechanisms to real-time WebSocket connections.
Vision-language models, alignment techniques, and the fundamental challenges of multimodal learning.
Dense and sparse embeddings, quantization techniques, and advanced retrieval methods for semantic search.
Graph algorithms, neural networks on graphs, and fundamental graph theory concepts with interactive visualizations.
Architecture, training, and optimization techniques for large language models and transformers.
Deep dive into initramfs (initial RAM filesystem), understanding the Linux boot process, early userspace, and how the kernel transitions from boot to the real root filesystem.
Master the Linux kernel architecture through interactive visualizations. Explore kernel layers, memory management, process scheduling, VFS, and the complete boot process.
Explore the inner workings of RAM through beautiful animations and interactive visualizations. Understand memory cells, addressing, and the memory hierarchy.
How Python compiles source code to bytecode and executes it
3D-stacked DRAM architecture providing massive bandwidth for GPUs and AI accelerators
Master GPU memory hierarchy from registers to global memory, understand coalescing patterns, bank conflicts, and optimization strategies for maximum performance