SKU: 43833717935

QUIEN DEBE A QUIEN

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QUIEN DEBE A QUIENLa deuda externa asfixia al Tercer Mundo. El pago de la deuda y de sus intereses, adems de estrangular las dbiles economas de los pases en vas de desarrollo, incrementa la deuda ecolgica del Norte con el Sur por el expolio sistemtico de la naturaleza y la prctica de un comercio ecolgicamente desigual. En este libro, los profesores Alier y Oliveres analizan dicha coyuntura y exponen sus propuestas para reconducir esta situacin de flagrante

QUIEN DEBE A QUIEN
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SKU: 43833717935

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4.0 ★★★★★
Based on 1770 reviews
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Verified Purchase
Abdul
Phoenix, 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
Y
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Y. Banga
San Leandro, 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
Houston, 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
Alexandria, 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
A
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Amazon User
Louisville, 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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