Chapter 9: Inference OptimizationInference Optimization: Making AI Models Better, Cheaper, and Faster New models come and go, but one constant remains: the need to make them better, cheaper, and faster. While training models captures headlines, inference accounts for up to 90% of ma...Oct 29, 2025·12 min read
Chapter 5: Prompt Engineering📌 Mastering Prompt Engineering: The Secret Language of AI Foundation models like GPT-4, Claude, or Gemini are extraordinary tools—but they are only as powerful as the instructions we give them. Welcome to the world of prompt engineering: the art and...Aug 6, 2025·4 min read
Chapter 4: Evaluate AI Systems🧪 Evaluation-Driven AI: From Benchmarks to Business Impact “An application that is deployed but can’t be evaluated is worse.” As AI engineers, we’re in an era of abundant models but scarce clarity. While model development accelerates, the bottlene...Aug 5, 2025·5 min read
Chapter 3: Evaluation Methodology🤖 How to Evaluate AI Systems in the Age of Foundation Models “Evals are surprisingly often all you need.” — Greg Brockman, OpenAI AI has evolved rapidly from narrow, task-specific systems to powerful, general-purpose foundation models. But as mode...Jul 22, 2025·5 min read
Chapter 2: Understanding Foundation ModelsArchitecture, Training, and Challenges Foundation models, like ChatGPT, Claude, and Gemini, are powering a new generation of intelligent applications. But what makes these models tick? How are they built, trained, and refined? And why do they sometim...Jul 18, 2025·4 min read
Chapter 1: Introduction to Building AI Applications with Foundation Models🧠 AI Engineering: The Art of Building Scalable AI Applications with Foundation Models Artificial Intelligence is no longer just a field of research—it’s a product capability, a business differentiator, and a career-defining discipline. With the rise...Jul 15, 2025·4 min read