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Manning Introduction to Generative AI, Second Edition - Manning

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Description
ChatGPT feels magical, yet its limits and risks stay frustratingly unclear. This second edition of Introduction to Generative AI cuts through the hype to deliver plain language explanations of how generative AI actually works. You will understand LLM architecture, training methodologies, and prompting techniques without requiring coding experience. The book moves you from confused spectator to informed, responsible participant in the AI revolution by examining what models do, why they fail, and where they genuinely create value. Through real-world case studies and demystified core concepts, you will gain clarity on how generative AI fits into your professional and personal world. Whether you are evaluating AI tools for business use or simply seeking to understand the technology shaping your future, this Manning Publications guide provides the practical knowledge you need to make confident decisions about generative AI.

Key Features

Second Edition coverage brings the latest developments in generative AI, training, and real-world applications to help you stay current with this rapidly evolving field.

LLM architecture and training concepts are explained in plain language without requiring coding experience, making core AI principles accessible to all readers.

Prompting techniques and best practices are covered in depth, enabling you to interact more effectively with generative AI systems.

Real-world case studies throughout the book demonstrate how generative AI creates value across different industries and use cases.

Responsible AI frameworks and risk assessment methods help you understand limitations and ethical considerations when implementing generative AI solutions.

Manning Publications brings expert technical communication to this guide, ensuring clarity and accuracy in every explanation.

Product Specifications
Brand
Manning
Format
paperback
ASIN
1633434885
Category
Books > Subjects > Computing & Internet > Certification > Exams
Domain
Amazon UK
Release Date
29 January 2026
Listed Since
06 September 2025

Barcode

No barcode data available

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