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Kemei Nose Mini Modelo 6673Mantn tu vello facial bajo control con la recortadora de orejas de nariz elctrica 2 en 1 Kemei. Esta recortadora recargable es segura y fcil de usar, perfecta para recortar el vello de la nariz, las orejas, las cejas y la barba. Con sus capacidades de recorte precisas, te dejar con una apariencia bien cuidada y pulida. Dile adis a los molestos pelos sueltos y dale la bienvenida a un look limpio y seguro. Caractersticas tcnicas: Modelo: KM 6673 Tiempo
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Best in 7 days
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Best in 7 days
4.1 ★★★★★
Based on 607 reviews
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Product Reviews
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
★★★★★ 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!
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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.
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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
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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
