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hondentuigje Best Buddy roodDit rode harnas is ideaal voor je kleine viervoeter! Het is gemaakt van nylon met een zachte vulling voor extra comfort. Het is traploos verstelbaar en heeft reflecterende stroken voor veiligheid. De kliksluiting en ring hebben een mooie donkergrijze metalen afwerking. Het harnas heeft ook een handige ring om een leiband aan te bevestigen. Let op: het handvat kan niet worden vastgemaakt op maat XXXS tot S. Materiaal: nylon met vulling: spons, Traploos
Dit rode harnas is ideaal voor je kleine viervoeter! Het is gemaakt van nylon met een zachte vulling voor extra comfort. Het is traploos verstelbaar en heeft reflecterende stroken voor veiligheid. De kliksluiting en ring hebben een mooie donkergrijze metalen afwerking. Het harnas heeft ook een handige ring om een leiband aan te bevestigen. Let op: het handvat kan niet worden vastgemaakt op maat XXXS tot S. Materiaal: nylon met vulling: spons, Traploos verstelbaar en met reflecterende stroken, XXXS - M: safety lock; XS - XL: borstband, Kliksluiting en ring hebben glanzende, donkergrijze metalen afwerking, Extra draagcomfort dankzij de zachte vulling en ademende mesh, Met een ring voor het bevestigen van een leiband, Het handvat op elk harnas kan je vastmaken, behalve op maat XXXS tot SShipping Notes
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4.5 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025