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4.3 ★★★★★
Based on 703 reviews
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Product Reviews
★★★★★ 5
the book for me
Format: Kindle
This has been the best book I’ve read in 2026. I finally understand who I am. I can’t tell you how many times I’ve wondered what’s wrong with me. Turns out …. Nothing! I have struggled with the constant message of “you need community” and the internal desire that cringes at the thought of it. Isolation is bad but select community is perfect. No more shame for needing alone time or just wanting to stay home. I’m normal - just an outlier ! Thank you so much for the valuable insight that has given me such revelation and relief about how my mind and emotions work 💜
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 4, 2026
★★★★★ 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
★★★★★ 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
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