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Description
monstera adansonii hanging plant Rare Monstera Adansonii 'Swiss Cheese'Description Light Soil Water Hardiness Monstera Adansonii or Monstera Monkey Mask is native to Central and South America. This popular houseplant has large heart shaped green leaves with lacy holes and notches (hence the name), which add a unique look to your interior design or garden landscape. It grows well in most indoor environments and it has an air purifying and toxin removing effect. Monstera Adansonii has thin yet resilient stems that develop
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Monstera Adansonii or Monstera Monkey Mask is native to Central and South America. This popular houseplant has large heart-shaped green leaves with lacy holes and notches (hence the name), which add a unique look to your interior design or garden landscape. It grows well in most indoor environments and it has an air-purifying and toxin-removing effect.
Monstera Adansonii has thin yet resilient stems that develop freely, fitting multiple types of pot or trailing planter. This plant grows fast and reaches 10–13 ft. tall outdoors or 3–8 ft. tall indoors, and 1–3 ft. wide.
Monstera Swiss Cheese has white flowers and it only blooms outdoors in the spring.
See more about How to care for Monstera Adansonii 'Swiss Cheese'.
***No hook included.
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Swiss Cheese Vine's ideal light condition is bright, indirect sunlight, which makes it a perfect indoor plant. When grown outdoors, it is better to put this plant in a partially shady spot. Too much direct sunlight would burn its leaves.
Water thoroughly when soil is dry to the touch, then let drain completely. Check the soil before watering.
Well-Drained, Porous potting soil, pH from neutral to lightly acidic.
Average summer temperatures from 65ºF/18ºC to 70ºF/21ºC are ideal. In winter, it can survive temperatures as low as 50ºF/10ºC.
Feed once with a controlled-release fertilizer at the beginning of the growing season.
Monstera Adansonii is mildly toxic to small animals so keep it out of reach of your pets. -
USDA Zone 10-11
USDA Zone 9b: to -3.8 °C (25 °F)
USDA Zone 10a: to -1.1 °C (30 °F)
USDA Zone 10b: to 1.7 °C (35 °F)
USDA Zone 11: above 4.5 °C (40 °F)
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4.1 ★★★★★
Based on 12 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on December 13, 2025
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
★★★★★ 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.
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Reviewed in the United States on June 25, 2024
★★★★★ 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.
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Reviewed in the United States on June 25, 2024
★★★★★ 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.
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Reviewed in the United States on August 7, 2024