dresser with 9 drawers Mid Century Modern Lane First Edition 9-Drawer Dresser in Walnut, c. 1
SKU: 11209593870
dresser with 9 drawers

dresser with 9 drawers Mid Century Modern Lane First Edition 9-Drawer Dresser in Walnut, c. 1

Sale price$25.73 Regular price$28.59
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Description

dresser with 9 drawers Mid Century Modern Lane First Edition 9-Drawer Dresser in Walnut, c. 1Title: Mid Century Modern Lane First Edition 9 Drawer Dresser in Walnut, c. 1960s About: Arguably Lane's most coveted line. The First Addition Line is know for it's cascading angular design. This nine drawer dresser with ample storage is constructed from walnut. Angular beveled pulls for handles. Set on tapered legs. Circa 1960s. Origin: United States of America Proof: Signed Period: 1960s Material: Walnut State: As Is (Tastefully Aged) Condition

Title: Mid Century Modern Lane First Edition 9-Drawer Dresser in Walnut, c. 1960s

About: Arguably Lane's most coveted line. The First Addition Line is know for it's cascading angular design. This nine drawer dresser with ample storage is constructed from walnut. Angular beveled pulls for handles. Set on tapered legs. Circa 1960s.

Origin: United States of America

Proof: Signed

Period: 1960s

Material: Walnut

State: As-Is (Tastefully Aged)

Condition Details: Save for a small veneer repair, this exquisite dresser is in original, vintage condition and has aged to perfection! The walnut composition is in fabulous shape showing only minor nicks, chips and surface scratches as well as the aforementioned veneer repair (all of which can be seen in the photos provided). All nine drawers open and close with ease and provide more than ample storage. This gorgeous case piece is highly functional, structurally sound and ready for decades more of use. Please view all photos for details on this dresser's current condition.

Style: Mid-Century Modern | Scandinavian Modern

SKU: AM01497

---Dimensions---

Width: 66 in / 167.64 cm
Depth: 18 in / 45.72 cm
Height: 31 in / 78.74 cm

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SKU: 11209593870

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4.1 ★★★★★
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N
Nader
Boise, 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
Battle Creek, 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
Birmingham, 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
Massapequa, 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
Belleville, 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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