Mastering Matrix Decompositions and SVD: Concepts, Patterns, and Pitfalls A deep dive into computational linear algebra — Eigendecomposition, Singular Value Decomposition ($A = U \Sigma V^T$), Low-Rank Approximations, Principal Component Analysis (PCA), and vector …
Mastering Matrix Decompositions and SVD: Concepts, Patterns, and Pitfalls A deep dive into computational linear algebra — Eigendecomposition, Singular Value Decomposition ($A = U \Sigma V^T$), Low-Rank Approximations, Princip…
Building Self-Attention and Transformer Engines: Architecture, Internals, and Best Practices A deep dive into deep learning — Query-Key-Value projection matrices, Scaled Dot-Product Softmax math, Multi-Head Attention (MHA), R…
TCP Sockets and Epoll Event Loops Under the Hood: A Step-by-Step Walkthrough A deep dive into network I/O multiplexing — non-blocking sockets, Linux `epoll` kernel data structures, Edge-Triggered vs Level-Triggered I/O, `io_u…