Название: Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
Автор: Jamuna S Murthy, Siddesh G M
Издательство: CRC Press
Год: 2026
Страниц: 398
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB
Generative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and complete journey through the science and art behind this revolution — from how machines learn to produce text, images, and music, to how they are being built, tested, and applied in the real world. The first part of the book lays out the ideas that make Generative AI possible — neural networks, transformers, diffusion models, and the mysterious “latent spaces” where creativity meets computation. The middle chapters explore how today’s AI systems reason, plan, and use tools, drawing on powerful frameworks such as LangChain, LangGraph, and AutoGen. The final section moves beyond algorithms, discussing how to build safe, fair, and energy-conscious AI that serves human goals rather than replacing them. We assume familiarity with Python and basic Deep Learning (e.g., PyTorch or TensorFlow). Exposure to NLP or computer vision will help, but we reintroduce key concepts when needed
