Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
Deep dive into CPU cache lines — interactive cache simulator with configurable associativity and replacement policies, false sharing MESI protocol visualization, access pattern benchmarks, and optimization techniques.
Explore the inner workings of RAM through beautiful animations and interactive visualizations. Understand memory cells, addressing, and the memory hierarchy.
Learn how initramfs enables Linux boot by loading essential drivers before the root filesystem mounts. Explore early userspace initialization.
Linux kernel architecture explained. Learn syscalls, protection rings, user vs kernel space, and what happens when you run a command.
How the silhouette score measures clustering quality for every individual point — comparing intra-cluster cohesion to nearest-cluster separation, with per-point diagnostics that work for arbitrary cluster shapes.
How sparse retrieval (BM25/TF-IDF), dense retrieval (BERT-style embeddings), and hybrid systems that combine both compare on recall, semantic understanding, computational cost, and operational complexity for modern search.