SKU: 68166098175
indoor plant pot and stand

indoor plant pot and stand GREENSTELL Plant Stand with Grow Lights, Half Moon 7 Tiered Metal Plan – Greenstell

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Ships within 48 hours · Estimated delivery Sep 15 - Sep 20

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Description

indoor plant pot and stand GREENSTELL Plant Stand with Grow Lights, Half Moon 7 Tiered Metal Plan – GreenstellWith Adjustable & 360Rotatable Grow Lights: This Greenstell indoor plant stand with grow lights features two movable, dual head LED lights that can be freely positioned and rotated 360 to ensure full coverage lighting for every plant on the shelf. The full spectrum LEDs offer 10 brightness levels, 3 color modes, and 3 timer settings to support different stages of plant growth. Perfect for indoor useno need to move your plants outside 7 Tiered Tall

  • With Adjustable & 360°Rotatable Grow Lights: This Greenstell indoor plant stand with grow lights features two movable, dual-head LED lights that can be freely positioned and rotated 360° to ensure full-coverage lighting for every plant on the shelf. The full-spectrum LEDs offer 10 brightness levels, 3 color modes, and 3 timer settings to support different stages of plant growth. Perfect for indoor use—no need to move your plants outside
  • 7 Tiered Tall Plant Stand: Greenstell plant stand indoor has 7 tiers, 12 pot holders and two S-shaped hooks, which provides ample storage and display space for multiple plants. Furthermore, this indoor plant stand can also be used for displaying decorative items, arranging books or other small items. It will fit perfectly with your living room, office, patio, balcony or any of your meditation area
  • Creative Curved Design: Our corner plant stand designed with a curved shape like the half-moon, it can be a perfect accent in your space in different ways. You can put the two units together or keep them seperate to match your room's decor, it can also be perfect for corners. Its exquisite appearance can enhance the overall beauty of the living room and become a highlight and decorative element of the space
  • Stable and Sturdy: Greenstell metal plant stand is constructed of MDF Board, which is easy to care and wipe, and prevent rust. Besides, metal frame structure with the iron pipe of 20*30 mm makes it sturdy to hold both of small and big pots of bonsai. The curved design helps stability and anchors are provided for further safety
  • Easy Assembly & Anti-Toppling Device: All tools and hardware are included along with detailed instructions. It is quick and easy to assemble our plant stand. In addition, we also come with anti-toppling straps. If you have children and pets, you can install the straps on the plant stand to prevent tipping
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SKU: 68166098175

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4.4 ★★★★★
Based on 15 reviews
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S
Verified Purchase
Scott J. Pearson
Boise, 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
Los Angeles, 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
West Palm Beach, 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
Chelsea, 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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