Generative AI Reference

By Rashmi Patel

Generative AI: Complete Technical Reference is a comprehensive, production-focused handbook designed for software engineers, AI practitioners, data scientists, and technology professionals who want to build modern Generative AI systems with confidence. Covering the complete GenAI ecosystem from foundational concepts to enterprise deployment, this reference bridges theory with practical implementation.

Rather than focusing on isolated tutorials or vendor-specific documentation, this book presents a unified view of today's Generative AI landscape, helping readers understand how real-world AI applications are architected, optimized, secured, and deployed.

Inside you'll explore:

Large Language Model (LLM) architecture, tokenization, attention, KV cache, inference, and decodingPrompt engineering techniques from zero-shot prompting to structured outputs and advanced reasoningRetrieval-Augmented Generation (RAG), hybrid search, vector databases, embeddings, reranking, and GraphRAGAI agents and multi-agent systems using LangGraph, CrewAI, MCP, and modern orchestration frameworksFine-tuning strategies including SFT, LoRA, QLoRA, DPO, and alignment techniquesImage, video, audio, and multimodal AI systems with production-ready workflowsFunction calling, tool integration, workflow automation, and AI application architectureSafety, governance, evaluation, observability, monitoring, security, and enterprise AI deploymentPractical Python examples, architecture diagrams, engineering patterns, troubleshooting guidance, and best practicesEmerging trends shaping the future of Generative AI engineering

This technical reference is written for professionals who need more than introductory material. Whether you're developing LLM-powered applications, deploying enterprise AI systems, designing agentic workflows, or preparing for AI engineering interviews, this book provides practical insights that can be applied immediately.

If you're looking for a single reference that covers the full Generative AI stack-from model foundations to production-grade enterprise systems-this book belongs on your desk.

• Format: Paperback
• Language: English
• ISBN: B0HBKJX7Q4
• ISBN13: 9798187950843
• Release Date: July 2026
• Publisher: Independently Published
• Length: 334 Pages
• Weight: 0.99 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"