Overview

Large language models are now everywhere - inside search, writing tools, office software, customer support, coding assistants, image apps, voice tools, and business workflows, you name it. This book explains what is the future of Artificial Intelligence, in plain everyday language. We explore the mathematics and algorithms behind LLMs, techniques used to train LLMs, the future of LLMs in form of World Models, what happens when LLMs take over a field, how to teach AI to be creative and how to stop it from becoming evil. The book also covers the frontiers that matter right now: reasoning models, AI agents, multimodal systems, synthetic data, open-weight models, model safety, copyright fights, chip demand, energy use, regulation, privacy, and how companies are trying to use AI at work. Each topic is explained without math, code. This is a weekend read for busy people without a computer science background, who want a solid grip on the direction in which AI is moving and major upcoming changes. It gives you the vocabulary, the map, and the red flags

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