dresser mid century modern Mid-Century Rattan 3-Drawer Dressers Dark Acacia (Set of 2)
SKU: 93079808098
dresser mid century modern

dresser mid century modern Mid-Century Rattan 3-Drawer Dressers Dark Acacia (Set of 2)

Sale price$23.62 Regular price$26.24
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Description

dresser mid century modern Mid-Century Rattan 3-Drawer Dressers Dark Acacia (Set of 2)AT A GLANCE Solid wood drawer pulls and base 3 drawers on metal drawer slides Top left and right drawers open as single drawer Faux rattan inlays Simple assemblyjust install legs and drawer pulls! Anti tip hardware included Set of 2 dressers Due to characteristics of natural wood, each piece is unique and product will have variations in color and texture PRODUCT DESCRIPTION Meet Paxtona stylish storage solution with a solid wood base, faux rattan

AT A GLANCE

  • Solid wood drawer pulls and base
  • 3 drawers on metal drawer slides
  • Top left and right drawers open as single drawer
  • Faux rattan inlays
  • Simple assembly—just install legs and drawer pulls!
  • Anti-tip hardware included
  • Set of 2 dressers
  • Due to characteristics of natural wood, each piece is unique and product will have variations in color and texture

PRODUCT DESCRIPTION

Meet Paxton—a stylish storage solution with a solid wood base, faux rattan inlays, and smooth metal drawer slides. The top left and right drawers open as one for added convenience. Each piece showcases unique natural wood variations, making Paxton a timeless addition to any space!

STYLE

Mid-Century Modern

DIMENSIONS

  • Width: 31.5 inches
  • Height: 31.5 inches
  • Length: 17.7 inches

WEIGHT LIMIT

154 lbs.

MATERIALS

  • Veneer
  • MDF
  • Particleboard
  • Rubberwood
  • Plastic Rattan

ASSEMBLY & CARE

  • Estimated assembly time: 200 minutes
  • All hardware and instructions included

SHIPPING, RETURNS & PRODUCT GUARANTEE

About Nathan James

Nathan James designs modern furniture at an honest price. Our goal is to make your shopping experience simple, from purchase to assembly.

Shipping

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Returns

We offer free returns within 100 days of purchase. There are no return fees, and returns are accepted for any reason. We arrange the pickup.

Product Guarantee

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Phone, text message, or WhatsApp: 1-866-619-1004

Email: [email protected]

We have over 50,000 5-star customer reviews and are in over 1 million homes.

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SKU: 93079808098

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4.1 ★★★★★
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Product Reviews
S
Verified Purchase
Scott J. Pearson
Waukegan, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Whiting, 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
Pawtucket, 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
Birmingham, 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
Waukegan, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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