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Description
monstera deliciosa swiss cheese plant Monstera Deliciosa Swiss Cheese Houseplant Seeds – Easy Grow Seeds10 Monstera seeds. Monstera deliciosa, the Swiss cheese plant, is a species of flowering plant native to tropical forests of southern Mexico, south to Panama. It has been introduced to many tropical areas. These seeds come with an option of Eco Packaging Find out more. Sow Inside Anytime Growing Instructions Monstera seeds can be soaked for 12 24 hours before planting. Make sure the water is lukewarm and leave the seeds somewhere warm. You should
10 Monstera seeds. Monstera deliciosa, the Swiss cheese plant, is a species of flowering plant native to tropical forests of southern Mexico, south to Panama. It has been introduced to many tropical areas.
These seeds come with an option of Eco Packaging - Find out more.
| Sow Inside | Anytime |
Growing Instructions
Monstera seeds can be soaked for 12-24 hours before planting. Make sure the water is lukewarm and leave the seeds somewhere warm. You should notice that they’ve swelled a little bit after soaking.
Use plastic shallow seed trays with drainage, this prevents mold from developing and allows the soil to dry out quickly. Use an organic potting mix as the plants are aroid's and require a soilless seed starting mix. Monstera seeds take around 10 days to sprout and can take up to 3 weeks depending on the conditions. Monstera likes warm temperatures germinates at around 20°C. Keep soil moist/damp but not soaked, a plant mister is perfect for Monstera plants and cover with clingfilm or a propagator lid to retain moisture whilst young. As they get larger, transfer into desired pots and placed in indirect sunlight.
Keep in mind that not all of your Monsteras will survive the first repotting. This isn’t an indication you’ve done anything wrong. It is not uncommon to lose a few seedlings. Most of your Monstera plants should make it through!
One thing to note is that Monstera grown from seed will most likely not put out a fenestrated leaf for years. Fenestrations (the characteristic holes we’ve all come to love from Monsteras) are an indication that a plant is very well cared for, gets the perfect amount of light, and is well-established. That’s part of why young plants tend to be cheaper: they won’t produce fenestrations for a while.
Continue to care for your Monstera, and it will get large enough to produce leaves with fenestrations in a few years. There’s nothing more exciting than seeing the first fenestrated leaf unfurl!
Use plastic shallow seed trays with drainage, this prevents mold from developing and allows the soil to dry out quickly. Use an organic potting mix as the plants are aroid's and require a soilless seed starting mix. Monstera seeds take around 10 days to sprout and can take up to 3 weeks depending on the conditions. Monstera likes warm temperatures germinates at around 20°C. Keep soil moist/damp but not soaked, a plant mister is perfect for Monstera plants and cover with clingfilm or a propagator lid to retain moisture whilst young. As they get larger, transfer into desired pots and placed in indirect sunlight.
Keep in mind that not all of your Monsteras will survive the first repotting. This isn’t an indication you’ve done anything wrong. It is not uncommon to lose a few seedlings. Most of your Monstera plants should make it through!
One thing to note is that Monstera grown from seed will most likely not put out a fenestrated leaf for years. Fenestrations (the characteristic holes we’ve all come to love from Monsteras) are an indication that a plant is very well cared for, gets the perfect amount of light, and is well-established. That’s part of why young plants tend to be cheaper: they won’t produce fenestrations for a while.
Continue to care for your Monstera, and it will get large enough to produce leaves with fenestrations in a few years. There’s nothing more exciting than seeing the first fenestrated leaf unfurl!
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4.0 ★★★★★
Based on 6 reviews
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Product Reviews
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering.
If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity.
I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did.
Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
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Reviewed in the United States on August 3, 2024
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
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
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