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Numa Dhamani and Maggie Engler

This fully revised edition is written for readers who want a grounded understanding of modern AI without needing a machine learning background. It walks through how large language models work, how systems like ChatGPT and Gemini produce their outputs, and where today’s capabilities come from. The book also spends time on something many introductions skip: limitations, risks, and the practical realities of using these tools responsibly.

Inside, you’ll explore topics such as:

• What’s happening under the hood of LLMs
• How generative AI fits into professional and personal workflows
• The social, legal, and policy questions surrounding AI
• Newer developments, including reasoning models, agents, multimodal training, and RAG

If you’ve experimented with generative AI but still feel like the technology is a black box, this book was written for exactly that gap. The goal is simple: help you understand what these systems are, what they are not, and how to think clearly about where they’re heading.

• Full details: Introduction to Generative AI, Second Edition - Numa Dhamani and Maggie Engler

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