SKU: 5412724423

Handy (12l)

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Description

Handy (12l)Der stilvoll schlichte Handy Backpack ist einer der meistverkauften Artikel von Lefrik. Das schlanke Profil bietet bequem Platz fr einen 15" Laptop und das wasserabweisende Material macht ihn zur perfekten Wahl fr tgliche Pendler. Dein Beitrag fr die Umwelt: Der Roll Rucksack ist aus recycelten PET Flaschen und wird 100% vegan hergestellt. Zugang zum Hauptfach mit Klappe und doppeltem Riemenverschluss. Innere Reiverschlusstasche. Innen gepolstertes

Der stilvoll schlichte Handy Backpack ist einer der meistverkauften Artikel von Lefrik. Das schlanke Profil bietet bequem Platz für einen 15"-Laptop und das wasserabweisende Material macht ihn zur perfekten Wahl für tägliche Pendler. Dein Beitrag für die Umwelt: Der Roll-Rucksack ist aus recycelten PET-Flaschen und wird 100% vegan hergestellt. Zugang zum Hauptfach mit Klappe und doppeltem Riemenverschluss. Innere Reißverschlusstasche. Innen gepolstertes Laptop-Fach bis zu 15,6". Verstellbare Schultergurte. 

Lefrik produziert urbane Taschen, Rucksäcke und Reiseutensilien aus hochwertigen Stoffen, die aus recycelten PET-Plastikflaschen hergestellt werden. Bewusste Verbraucher erhalten so Zugang zu innovativen und stylischen Produkten, die Mode und Nachhaltigkeit perfekt vereinen.
Lefrik wurde ausserdem von PETA als vegan anerkannt.

Dein Beitrag für die Umwelt:

4,2 kg Kohlendioxid-Einsparung. 6,2L Wassereinsparung. Hergestellt aus 30 PET-Flaschen.

 

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SKU: 5412724423

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4.1 ★★★★★
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Marc in MA
Louisville, US
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
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Verified Purchase
Simon Mok
Chelsea, US
★★★★★ 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
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Johann
Carnegie, US
★★★★★ 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
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jrw879
Whiting, US
★★★★★ 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
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Wil C
Dallas, US
★★★★★ 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

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