Artificial Intelligence often feels like magic but behind every intelligent response is a system built on data, mathematics, and engineering. AI Is Not Magic is a beginner-friendly guide that explains how modern AI systems like ChatGPT and other L...
Artificial Intelligence often feels like magic but behind every intelligent response is a system built on data, mathematics, and engineering. AI Is Not Magic is a beginner-friendly guide that explains how modern AI systems like ChatGPT and other Large Language Models actually work. Starting from foundational concepts such as tokens and transformers, the book walks readers through training, inference, and real-world limitations. It then moves beyond theory into practical engineering topics including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), memory systems, guardrails, and AI agents. Written in clear, simple language, this book helps engineers, students, and curious professionals understand how to design, build, and trust AI systems, transforming AI from something mysterious into something understandable and usable.
Tags : Transformer neural network explained,Tokenization in NLP,Retrieval Augmented Generation tutorial,LangChain and AI agents,MCP Model Context Protocol,AI workflow automation,LLM architecture explained,AI engineering practical guide,Build AI tools and assistants