Christmas Tree Candle Holder, Freestanding Christmas Tea light Decoration

Christmas Tree Candle Holder, Freestanding Christmas Tea light Decoration

Marsoni

M251S

$26.00

Get it in 3 business days with 1 day shipping. Friday, May 29

Christmas Tree Candle Holder, Freestanding Christmas Tea light DecorationA handmade oak modern decor Christmas tea light holder. An imaginative addition to your home Christmas decorations, or a unique gift for a friend or loved one. Holding one tea light candle this tree set is perfect as a display on your dinner table this Christmas or could be used to dress your fireplace or a shelf. The metal tea light inserts are available in a bronze or nickel finish. Please choose at checkout. DIMENSIONS Height: 180mm Width: 215mm

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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

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Wil C

New York, US

★★★★★ 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

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Abdul

Chelsea, US

★★★★★ 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

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Y. Banga

Bozeman, US

★★★★★ 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