SKU: 88232209162

Greenlee Puntas de reemplazo 6 en 2

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Description

Greenlee Puntas de reemplazo 6 en 2Kit de puntas de reemplazo para destornillador de torque (9953 13) Greenlee Kit de puntas de reemplazo para destornillador de torque (Cat. #9953 13) es una variante del modelo 9953 46T de Greenlee. Producto original Greenlee, fabricado bajo los mismos estndares de alta calidad. Aplicacin Par de torsin. Diseado para trabajos de instalacin, mantenimiento y reparacin elctrica en campo. Parte de la lnea de destornilladores de Greenlee. Especificaciones

Greenlee Puntas de reemplazo 6 en 2
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SKU: 88232209162

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4.3 ★★★★★
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Abdul
Grantham, 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
Chelsea, 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
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William L. Crupi
Los Angeles, US
★★★★★ 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
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jeff s kittrell
Port Orchard, US
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
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Amazon User
Boise, US
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025

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