Kmc - Catena DLC11 SUPERLIGHT 11V

Marsoni

M251S

$98.13

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

Kmc - Catena DLC11 SUPERLIGHT 11VProgettata con estrema precisione, questa catena fornisce una perfetta prestazione di cambiata e una trasmissione fluida. Trattamento: Diamond Like Coating (DLC) Cambiata perfetta grazia alla tecnologia X Bridge Maglie e perni forati Compatibile con i principali gruppi in commercio MissingLink incluso Misura: 1 2" x 11 128" Lunghezza pin: 5,65 mm Peso: 247 gr Velocit: 11v Numero maglie: 118 Specifico E Bike: No Antiruggine: No Colore: Nero Colore

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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.

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on February 20, 2026

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Wil C

West Palm Beach, 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

Natrona Heights, 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

Omaha, 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