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NORTON CLIPPER Diamanttrennscheibe 4 x 4 Explorer Ø 125 mm Bohrung 22,23 mm ( 4000818800 )Lieferumfang: 1x NORTON CLIPPER Diamanttrennscheibe 4 x 4 Explorer 125 mm Bohrung 22,23 mm Produktbeschreibung: schnellerer Schnitt, hhere Standzeit, verbesserte Sicherheit vereinfachte Handhabung bei der Anwendung auf allen Materialien bis zu 12 mm Segmenthhe fr einen schnelleren Schnitt in harten Materialien sowie hohe Standzeit in abrasiven Materialien trapezfrmige Segmentform fr einen komfortablen und flssigen Schnitt bei weniger Vibration
Lieferumfang:
- 1x NORTON CLIPPER Diamanttrennscheibe 4 x 4 Explorer Ø 125 mm Bohrung 22,23 mm
schnellerer Schnitt, höhere Standzeit, verbesserte Sicherheit · vereinfachte Handhabung bei der Anwendung auf allen Materialien · bis zu 12 mm Segmenthöhe für einen schnelleren Schnitt in harten Materialien sowie hohe Standzeit in abrasiven Materialien · trapezförmige Segmentform für einen komfortablen und flüssigen Schnitt bei weniger Vibration · patentierte Schnitttiefenanzeige zur einfachen Kontrolle der Schnitttiefe beim Einsatz · Messung des Segmentverschleißes durch optische Prüfung der Segment-Abnutzung · Spezial-Wasserwege in Ellipsenform in einem sicheren Design, um Risse durch Unachtsamkeit zu vermeiden, insbesondere bei Materialien dicker als 5 mm · Universalscheibe zum Trennen aller Materialien, auch Baustahl bis 5 mm Dicke
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4.7 ★★★★★
Based on 30 reviews
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Product Reviews
★★★★★ 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
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
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