plant stands indoors Round Plant Stand, 63" Flower Pot Plant Rack with 8 Shelves, Brown
SKU: 27227078999
plant stands indoors

plant stands indoors Round Plant Stand, 63" Flower Pot Plant Rack with 8 Shelves, Brown

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Description

plant stands indoors Round Plant Stand, 63" Flower Pot Plant Rack with 8 Shelves, BrownCreative Design This plant stand, with its round structure and staggered shelves, offers a stylish, geometric aesthetic with an industrial touch. The rustic brown board and black metal frame bring a retro charm to any room. Spacious Storage Measuring 59" W x 11. 81" D x 63" H with eight shelves, the plant rack provides ample space for displaying potted plants and flowers. The staggered design ensures an attention grabbing display. Versatile Use

Creative Design - This plant stand, with its round structure and staggered shelves, offers a stylish, geometric aesthetic with an industrial touch. The rustic brown board and black metal frame bring a retro charm to any room.

Spacious Storage - Measuring 59" W x 11.81" D x 63" H with eight shelves, the plant rack provides ample space for displaying potted plants and flowers. The staggered design ensures an attention-grabbing display.

Versatile Use - Besides being a plant shelving unit, it can also serve as a storage or display shelf for decorations, books, photos, etc. It is a great addition to any room, from the living room to the bedroom.

Sturdy & Stable - Crafted from particleboard and reinforced with a metal tube frame, the plant holder is durable, anti-scratch, and easy to clean. It can hold up to 350 lbs, and the adjustable leg pads ensure stability on uneven floors.

Simple Assembly & Support - All parts are labeled and an instruction guide and necessary hardware are included. While assembly is straightforward, it is recommended for two people. Tribesigns offers an 18-month warranty and friendly customer service for any issues.

Product Dimensions & Weights Details
Length 59.05"
Depth 11.81"
Height 62.59"
Item Weight 62.37 lbs

Packaging Dimensions & Weights
  • 51.77 " L x 13.39 " W x 8.66 " H (66.78 lbs)

Installation Guide.pdf

 


Product Information
Finish Type Matte Black, Rustic Brown
Shape Round
Base Type Leg
Assembly Required Yes
Load Capacity 350 lbs
Number of Levels 8
Special Feature Heavy Duty, Scratch Resistant
Manufacturer Tribesigns
Product Dimensions 59.06 x 11.81 x 62.99 inches
Item Weight 61.6 pounds
Specific instructions for use Decorative Items, Plants, Books
Fabric Type Particleboard + Metal
Finish types Matte Black, Rustic Brown
Number of shelves 8
Included Components Hardware
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SKU: 27227078999

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4.5 ★★★★★
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Product Reviews
S
Verified Purchase
Scott J. Pearson
Whiting, 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
West Palm Beach, 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
Chelsea, 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
Louisville, 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
Charlottesville, 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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