Brown Wood Queen Bed Frame

Marsoni

M251S

$847.00

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

Brown Wood Queen Bed FrameDrift off to a great night's sleep with the luxuriously stylish brown wood queen bed frame. Quality craftsmanship in every facet of production ensures durability and long lasting wear built to last, this piece not only looks good but reflects premium workmanship from top to bottom. This bed is the perfect way to make your bedroom comfortable and inviting. 46 inch h x 65 inch w x 83. 5 inch d. Details GTIN (UPC EAN): 608219169435 Shipping Weight: 201.

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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

Boise, 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

Phoenix, 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

Houston, 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