


Zylinder 216950 McCulloch 110 120 130 140 Mini Mac 6 25 30 35 Eager Beaver Titan 7
Marsoni
M251S
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Friday, May 29
Zylinder 216950 McCulloch 110 120 130 140 Mini Mac 6 25 30 35 Eager Beaver Titan 7Zustand: gebraucht OEM Nummer: 216950 Zylinderbohrung: 36,5mm Passend fr folgende Modelle: McCulloch Mac 110 McCulloch Mac 120 McCulloch Mac 130 McCulloch Mac 140 McCulloch Mini Mac 6 McCulloch Mini Mac 25 McCulloch Mini Mac 30 McCulloch Mini Mac 35 McCulloch Mac 160s McCulloch Eager Beaver McCulloch Titan 7 Hinweis: Aufgrund des Baujahrs und des Modells gibt es vielleicht Unterschiede. Bitte prft den Artikel sorgfltig und vergleicht ihn
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★★★★★ 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
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025