3 drawer dresser brown Mid-Century Rattan 3-Drawer Dressers Dark Acacia (Set of 2)
SKU: 59460170833
3 drawer dresser brown

3 drawer dresser brown Mid-Century Rattan 3-Drawer Dressers Dark Acacia (Set of 2)

$20.62 $22.91
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Size: 4
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Description

3 drawer dresser brown 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

All orders ship free. There is no minimum purchase required. In stock products ship next day.

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.

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Customer Support

You can speak to a real person on our customer support team.

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.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 59460170833

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4.4 ★★★★★
Based on 1205 reviews
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Product Reviews
N
Nader
Lexington, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Phoenix, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
New York, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
West Palm Beach, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Carnegie, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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