SKU: 38198236348

Morgan Rug - Sunset/Ink

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Description

Morgan Rug - Sunset/InkAmber Lewis x Loloi With the faded feel of an antique rug, the Morgan Collection for Amber Lewis x Loloi is a feat of modern printed construction. These impressive area rugs expertly blend sophisticated tones to recreate the dynamic colors of vintage textiles. Power loomed of CloudPile construction, these rugs are extra soft to walk upon yet still durable for high traffic rooms. Power Loomed 100% Polyester Pile Pile Height: 0. 38" Backing: Polyester

Amber Lewis x Loloi

With the faded feel of an antique rug, the Morgan Collection for Amber Lewis x Loloi is a feat of modern printed construction. These impressive area rugs expertly blend sophisticated tones to recreate the dynamic colors of vintage textiles. Power-loomed of CloudPile™ construction, these rugs are extra-soft to walk upon yet still durable for high-traffic rooms.

  • Power Loomed
  • 100% Polyester Pile
  • Pile Height: 0.38"
  • Backing: Polyester / Cotton
  • All Sales Final

Clean spills immediately by blotting with a clean, dry sponge or cloth. Professional cleaning recommended. Appropriate rug pad is highly recommended on all surfaces to prevent slipping, add cushion, and improve durability. For vacuuming, use a vacuum cleaner without a beater bar or one where you can set the bar to the highest pile setting. If your vacuum has variable power settings, set on low. Vacuum full length of the rug, turn and repeat to the next area, rather than back and forth motion.

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SKU: 38198236348

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4.3 ★★★★★
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J
Verified Purchase
Jason Bolton
Waukegan, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Natrona Heights, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Lowell, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Houston, US
★★★★★ 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
K
Verified Purchase
K. Wain
West Palm Beach, US
★★★★★ 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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