Books

Build fast, secure and portable applications with WASI. Start with the fundamentals, then move into components, WIT, Wasmtime and real production patterns using Rust, C, Go and JavaScript. From sandboxed plugins to serverless and edge workloads, this practical guide gives you the skills to take WebAssembly from your first experiment to production.

Building production-grade AI systems requires more than just calling an API or running a basic notebook—it demands mastery over hardware constraints, memory bandwidth limits, and distributed inference architectures.​My new book, AI Systems Engineering: From Prototype to Production, is now officially available. It’s a code-first, rigorous engineering manual covering everything from vLLM runtime internals, PagedAttention, and FP8/INT4 quantization to HNSW vector search, hybrid RAG, and autonomous multi-agent swarm architectures.​Stop wrestling with out-of-memory errors and sub-optimal latency. Master the infrastructure that powers modern AI at scale.

Behind every breakthrough in Generative AI isn't magic—it's mathematics."​Ever wondered what actually happens inside a Large Language Model when it generates the next token? Beyond the hype and high-level API calls lies an elegant foundation of probability, vector geometry, and linear algebra.​In The Mathematics of Generative AI, Ahmed Adawy strips away the academic jargon to reveal the exact core equations driving modern LLMs. From conditional probability and high-dimensional embeddings to Query-Key-Value attention mechanisms, this capsule equips software engineers and AI practitioners with the intuition needed to build, debug, and innovate with confidence.​Stop treating AI like a black box. Master the equations beneath the intelligence.

Build a fully functional semantic search engine from first principles using pure Python and NumPy—no heavy AI frameworks, no vector databases, just pure intuition and mathematics.