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2014-2024 Mercedes Benz Connecting Rod Bearing Set STD - M270 - M274 - M260 - M264 - 2.0L L4 Turbo – (264038010054)Details Engine Application: M270 M274 M260 M264 2. 0L L4 Turbo Gas Petrol Compatible Models: Mercedes Benz A 220, A 35 AMG, C 300, C 350e, CLA 250, CLA 35 AMG, E 300, E 350, GLA 250, GLA 35 AMG, GLB 250, GLB 35 AMG, GLC 300, GLC 350e 4MATIC, GLE 350, Metris, SLC 300, SLK 300, Sprinter 1500, Sprinter 2500 & more Other Names: Engine Con Rod Set. Engine Bearings. Crankshaft Rod Bearing Set OEM Part Numbers: 264038010054 replaces: 2640380100, 2710380110,
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Best in 7 days
Best in 7 days
Best in 7 days
Best in 7 days
4.0 ★★★★★
Based on 122 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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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