Lavender and Lemon Conditioner Bar

Marsoni

M251S

$10.00

Get it in 3 business days with 1 day shipping. Friday, May 29

Lavender and Lemon Conditioner BarLovingly crafted with safe ingredients to nourish and care for your hair. This conditioner bar is designed for fine oily hair types. With up to 80 uses per bar (dependent on hair length), that's up to 3 plastic bottles worth! How to use Use after shampooing with your anihana shampoo bar. Wet the bar and your hair, run the bar from roots to tips a few times. Massage as you would with a liquid conditioner. Leave for 1 2 minutes if desired and rinse

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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

Grantham, 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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Abdul

Louisville, 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

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Y. Banga

Battle Creek, 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