LARGE LANGUAGE MODEL INTERNALS: Attention Mechanisms, Transformer Math, and Token-Level Optimization: Understanding KV Caches, RoPE, Flash for Inference Engineers

vLLM and High-Performance Inference: Memory Optimization, Parallel Execution, Token Streaming, Scalable Model Serving

Large Language Models: Production Deployment, Fine-Tuning & Inference Optimization

Optimization Algorithms for Engineers

AI for Engineers Who Hate Math: An Intuition First Guide to Understanding and Applying