Self hosting open source llms beginners di chen weiming (4 risultati)
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 18,74
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 17,73
EUR 3,84 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.
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 18,72
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,63
EUR 43,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. You do not need a data center, a research lab, or an enterprise budget to run useful AI on your own infrastructure.Self-Hosting Open-Source LLMs for Beginners is a practical guide to building a private AI stack that actually works on real-world hardware. Instead of treating self-hosting lik…e a giant infrastructure project, this book walks through a clear path: run a local model, serve it through an API, connect it to a chat interface, add your own documents with retrieval, and shape the workflow into something you will actually use.The focus is not on hype. It is on building a system you understand.Inside, you will learn how to choose a realistic setup for your budget and goals, what model size and quantization mean in practice, how to use tools such as Ollama and Open WebUI, how retrieval-augmented generation works with private files, and how to improve reliability through better prompting, guardrails, and workflow design. You will also learn where lightweight customization fits, what "private" actually requires, and how to keep a local AI system stable over time.This book is written for solo builders, homelab users, curious developers, and anyone who wants more control over their AI workflows without getting buried in theory. By the end, you will have a working blueprint for a private document-aware assistant and a much clearer understanding of how local AI systems fit together.If you want to move beyond browser demos and hosted black boxes, this book will help you build something real. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
