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Description
Kensington Valley Raiders Ranger 3-in-1 JacketThis jacket offers three great jackets to meet any weather challenge. The plush microfleece jacket is perfect on cool days; the critically seam sealed, waterproof shell on rainy days; or combine the two for more protection. 100% polyester shell 100% polyester lining 100% polyester microfleece inner jacket 3000MM fabric waterproof rating 3000G M fabric breathability rating Critically seam sealed for added waterproof protection Detachable hood with
This jacket offers three great jackets to meet any weather challenge. The plush microfleece jacket is perfect on cool days; the critically seam-sealed, waterproof shell on rainy days; or combine the two for more protection.
- 100% polyester shell
- 100% polyester lining
- 100% polyester microfleece inner jacket
- 3000MM fabric waterproof rating
- 3000G/M² fabric breathability rating
- Critically seam-sealed for added waterproof protection
- Detachable hood with adjustable self-fabric tab, drawcord and toggles
- Full-length Interior storm flap
- Full-length exterior storm flap with hook and loop and snap closures
- Two-way Vislon zipper
- Angled zippered chest pocket
- Interior pocket
- Front zippered pockets
- Half elastic, half self-fabric adjustable tab cuffs with hook and loop closures
- Port Pocket for decoration access
- 100% polyester microfleece inner jacket has an anti-pill finish and front zippered pockets
- Open hem with drawcord and toggles for adjustability
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4.2 ★★★★★
Based on 1848 reviews
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Product Reviews
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods.
And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026
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