Generative AI Reference

Name: Generative AI Reference
Brand: Independently Published
SKU: 9798187950843
Price: 2480.0 INR
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by Rashmi Patel

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ISBN13: 9798187950843
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: July 22, 2026
Pages: 334
Original Price: USD 23.0
Language: English
Edition: N/A
Item Weight: 450 grams
BISAC Subject(s): Computer Science

About The Book

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 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.

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