WSM Sprocket, Front Honda 250 ATC-R 81-82 - FSH-009-14

WSM Sprocket, Front Honda 250 ATC-R 81-82 - FSH-009-14

Marsoni

M251S

$14.97

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WSM Sprocket, Front Honda 250 ATC-R 81-82 - FSH-009-14Item#: FSH 009 14 Sprocket, Front Honda 250 ATC R 81 82 Note: 14 Tooth Brand: WSM FITMENTS: Make Model Year(s) Honda ATC R 250 1981 1982

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This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on April 6, 2026

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Simon Mok

Omaha, US

★★★★★ 5

Effective book for learning ollama

Format: Paperback

The author has explained clearly the concept. Helpful and effectively written.

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Reviewed in the United States on January 21, 2026

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Johann

Charlottesville, US

★★★★★ 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

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jrw879

Whiting, US

★★★★★ 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

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Wil C

Belleville, 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