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PRINCE CASTLE 88-793-02S

Marsoni M251S
Sale price$64.19
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PRINCE CASTLE 88-793-02SDescription: GM KIT, LAMP 34IN FLUOR. (LF 35 FOR PRINCE CASTLE Fits Brand: PRINCE CASTLE Manufacturer part number: 88 793 02S Use this part in your PRINCE CASTLE food service equipment. This part is covered by manufacturer warranty. OEM part numbers are used for reference only, see our Term Of Service for more detailsKeywords: 8879302S
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4.0 ★★★★★
Based on 1412 reviews
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Abdul
West Palm Beach, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 5, 2025
Y
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Y. Banga
Cuba, 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
W
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William L. Crupi
Massapequa, 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
J
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jeff s kittrell
Houston, 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
Pawtucket, 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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