This book is a comprehensive guide that immerses the readers into the world of building and deploying AI-powered solutions. Readers are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.
The book starts with the foundational aspects of Generative AI application development. Readers learn the nuances of data handling in Generative AI apps, from working with embeddings and graph knowledge databases to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing readers with practical insights into leveraging data effectively for intelligent applications. Moreover, the chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As readers progress through the book, they embark on a journey from conceptualization to production and deployment of Generative AI applications. They discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.
In the end, the book equips readers with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.
What you will learn:
- What is the core architecture of LLMs and learn how these models have revolutionized AI applications.
- How to handle various data types including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications.
- Understanding prompt engineering and their importance in AI interactions and applications.
- Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design
Who this book is for:
AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation.
