Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Generative AI Reference
Verlag:
Independently Published Unsere-Artikel-Nr.: P36092175
EAN: 9798187950843
Erhältlich:
Nicht auf Lager
Zustellung: Mi, 21.10.2026
Versand: Kostenlos
CHF 37.50
Beschreibung
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.
Spezifikationen
Sprache
- Englisch
Autor
- Rashmi Patel
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)
Anzahl Seiten
- 334