Building Retrieval-Augmented Generation (RAG) Systems: Architecture, Internals, and Best Practices A masterclass for AI engineers — Vector Embeddings, HNSW graph indexing, Hybrid BM25 search, Cross-Encoder re-ranking, RAG Tri…
Mastering Transformers: Concepts, Patterns, and Pitfalls A deep learning systems guide to the Transformer architecture — covering sequential bottlenecks, QKV self-attention math, multi-head subspaces, positional encoding, and…
Understanding the Minimax Algorithm: A Deep Dive for Developers A rigorous architectural analysis of game-playing AI — covering zero-sum game trees, recursive minimax formulation, alpha-beta pruning bounds, move ordering opti…