9798293490486 (4 risultati)
Editore: Amazon Digital Services LLC - Kdp, 2025
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,77
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Amazon Digital Services LLC - Kdp, 2025
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 19,99
EUR 4,85 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Independently Published, 2025
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,76
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. In the rapidly evolving world of Large Language Models (LLMs), those who can build structured, reliable, and intelligent workflows are leading the next wave of AI innovation. Whether you're a machine learning engineer, backend developer, data architect, or tech founder, this book gives you…a crystal-clear blueprint to go from toy prototypes to production-ready LLM systems.Building LLM Workflows cuts through the noise to deliver what actually works in practice covering LangChain orchestration, LangGraph's stateful flows, Retrieval-Augmented Generation (RAG), OpenAI tool integration, and more. With practical insights and clean code patterns, you'll not only understand the moving parts but learn how to connect them into scalable, modular AI pipelines.This isn't just about building this is about building better: faster iteration, more reliable behavior, safer deployments, and smarter agent coordination. If you're tired of scattered tools and generic tutorials, this book delivers the architectural clarity and hands-on depth you've been looking for.What You'll Learn Inside: Design modular LLM systems with LangChain, LangGraph, and real-world APIs from ideation to deployment.Build robust RAG pipelines with hybrid retrieval strategies, chunking methods, and vector stores like Chroma and FAISS.Manage stateful interactions with LangGraph's node-edge logic and event-driven workflows.Engineer scalable agent behaviors using prompt templates, retries, branching, and memory control.Implement production-grade safeguards against hallucination, prompt injection, and tool misuse. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Independently Published, 2025
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 23,42
EUR 43,18 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. In the rapidly evolving world of Large Language Models (LLMs), those who can build structured, reliable, and intelligent workflows are leading the next wave of AI innovation. Whether you're a machine learning engineer, backend developer, data architect, or tech founder, this book gives you…a crystal-clear blueprint to go from toy prototypes to production-ready LLM systems.Building LLM Workflows cuts through the noise to deliver what actually works in practice covering LangChain orchestration, LangGraph's stateful flows, Retrieval-Augmented Generation (RAG), OpenAI tool integration, and more. With practical insights and clean code patterns, you'll not only understand the moving parts but learn how to connect them into scalable, modular AI pipelines.This isn't just about building this is about building better: faster iteration, more reliable behavior, safer deployments, and smarter agent coordination. If you're tired of scattered tools and generic tutorials, this book delivers the architectural clarity and hands-on depth you've been looking for.What You'll Learn Inside: Design modular LLM systems with LangChain, LangGraph, and real-world APIs from ideation to deployment.Build robust RAG pipelines with hybrid retrieval strategies, chunking methods, and vector stores like Chroma and FAISS.Manage stateful interactions with LangGraph's node-edge logic and event-driven workflows.Engineer scalable agent behaviors using prompt templates, retries, branching, and memory control.Implement production-grade safeguards against hallucination, prompt injection, and tool misuse. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
