Generative AI Reference

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 decoding- Prompt engineering techniques from zero-shot prompting to structured outputs and advanced reasoning- Retrieval-Augmented Generation (RAG), hybrid search, vector databases, embeddings, reranking, and GraphRAG- AI agents and multi-agent systems using LangGraph, CrewAI, MCP, and modern orchestration frameworks- Fine-tuning strategies including SFT, LoRA, QLoRA, DPO, and alignment techniques- Image, video, audio, and multimodal AI systems with production-ready workflows- Function calling, tool integration, workflow automation, and AI application architecture- Safety, governance, evaluation, observability, monitoring, security, and enterprise AI deployment- Practical Python examples, architecture diagrams, engineering patterns, troubleshooting guidance, and best practices- Emerging trends shaping the future of Generative AI engineeringThis 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.