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Generative AI Demystified : Transforming Ideas into Action - Nishant Srivastava

Generative AI Demystified

Transforming Ideas into Action

By: Nishant Srivastava, Akhilesh Kumar Sharma

Paperback | 28 April 2025

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Generative AI is not just futuristic anymore-it is already here.

From ChatGPT to custom AI applications, AI is transforming how we work, learn, create, and do business. But for many people, it still feels complex, confusing, or out of reach.

Generative AI Demystified makes it all make sense. This reader-friendly guide breaks down what Generative AI is, how it works, and why it matters-without the complicated math or intimidating technical jargon. Whether you are a student, a working professional, a team leader, or just someone curious about AI, this book walks you through everything you need to know to get started.

Inside, you will learn:

  • What makes Generative AI different from traditional AI
  • How do Large Language Models (LLMs) compare to Small Language Models (SLMs)
  • Why vector databases are essential to intelligent search and retrieval
  • How retrieval-augmented generation (RAG) stacks up against model fine-tuning
  • Real-world techniques for writing better prompts
  • How to build with Azure OpenAI, LangChain, and Semantic Kernel
  • What multi-agent AI systems are, and how they are designed
  • How AI is being applied in departments like HR, Procurement, Finance, and Legal
  • Industry use cases in Manufacturing, Mobility, and Financial Services
  • The ethical and social responsibilities that come with building and using AI

With relatable examples, thoughtful insights, and a clear focus on practical use, Generative AI Demystified is your go-to resource for understanding one of the most exciting technologies of our time.

Industry Reviews

"A clear, timely, and practical guide to understanding the true power of Generative AI. Whether you are a techie or just AI-curious, this book makes the complex simple-and the future accessible."

- AdvancedTech Review

You Can Find This Book In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine LearningDatabasesData Capture & Analysis

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