large modern plant pot Funky Plant Pot, Mid Century Modern Pots with Drainage and Saucer, Cache Planter  Pot "FLOW" – Rosebud HomeGoods
SKU: 98320348021
large modern plant pot

large modern plant pot Funky Plant Pot, Mid Century Modern Pots with Drainage and Saucer, Cache Planter Pot "FLOW" – Rosebud HomeGoods

Sale price$24.51 Regular price$27.23
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Description

large modern plant pot Funky Plant Pot, Mid Century Modern Pots with Drainage and Saucer, Cache Planter Pot "FLOW" – Rosebud HomeGoodsMid century modern designed 3d printed planter made with high quality, eco friendly plant based materials. Great for indoor houseplants. Take the stress out of the day with unique and funky plant pots that not only look great, but are good for your plants too! These planters are recyclable and bio degradable although they will last for years. Our planters feature a superior drainage system with 35 carefully placed openings, allowing for maximum water

Mid-century modern designed 3d printed planter made with high quality, eco-friendly plant based materials. Great for indoor houseplants. Take the stress out of the day with unique and funky plant pots that not only look great, but are good for your plants too! These planters are recyclable and bio-degradable although they will last for years.

🌧️Our planters feature a superior drainage system with 35 carefully placed openings, allowing for maximum water flow and preventing any risk of overwatering. Experience the ultimate in plant care technology with our innovative planter design. 🌧️

4 Inch - 4.2 inch diameter standing 4 inches tall
5 Inch - 5.2 inch diameter standing 5 inches tall
6 Inch - 6.3 inch diameter standing 6 inches tall
7 Inch - 7.3 inch diameter standing 6.5 inches tall
8 Inch - 8.3 inch diameter standing 7.5 inches tall

Any special requests please leave in the Notes section and we will do our best to accommodate.

Enjoy our Matte color selection for an elevated look. The Rainbow color will vary depending on size of planter. If you would like a specific coloration please leave 2 colors in the notes!

3D printed planters are a great addition for your plant. The material is porous allowing for great breathability and aeration.

Our planters are 3D printed with high-quality PLA - a type of thermoplastic polymer derived from Upcycled materials like Corn, Beets, and Wheat Grass. PLA is 100% biodegradable, recyclable and compostable!

PLA Is very strong and sturdy. Sudden bumps or falls will not harm these planters as they are designe to withstand unexpected life happenings.

Our goal is to make sure every planter has minimal layer lines and surface imperfections. We only ship planters we would be proud to plant in.
Some images are Digital Renders. Actual product may vary, slightly.

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Exchange/Return Notes
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SKU: 98320348021

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4.1 ★★★★★
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S
Verified Purchase
Scott J. Pearson
New York, 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
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
Waukegan, 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
Massapequa, 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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