dragon fruit succulent plants Hylocereus undatus – Dragon Fruit Cactus – Sprouts of Bristol
SKU: 5693204724
dragon fruit succulent plants

dragon fruit succulent plants Hylocereus undatus – Dragon Fruit Cactus – Sprouts of Bristol

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Description

dragon fruit succulent plants Hylocereus undatus – Dragon Fruit Cactus – Sprouts of BristolThe Dragon Fruit plant has a fountain of spiky green stems which are beautiful and vibrant even before blooming or fruiting. Whilst they are quite happy as houseplants, you may not get them fruiting indoors but that doesn't mean you can't still enjoy the foliage and possibly flowers! In its native South America, it is fast growing, scaling trees and houses alike to display its cream coloured blooms and distinctive bright pink fruits. In your home, you

The Dragon Fruit plant has a fountain of spiky green stems which are beautiful and vibrant even before blooming or fruiting. Whilst they are quite happy as houseplants, you may not get them fruiting indoors - but that doesn't mean you can't still enjoy the foliage and possibly flowers! In its native South America, it is fast-growing, scaling trees and houses alike to display its cream-coloured blooms and distinctive bright pink fruits. In your home, you can enjoy the foliage and either train it on a trellis or other support, or let it hang or trail. Keep it in a bright spot, let the soil dry between waters, and watch this plant thrive

Scientific Name
Selenicereus undatus (wavy moon-wax plant)

Synonyms: Hylocereus undatus, Cereus tricostatus, Cereus undatus, Hylocereus tricostatus, Selenicereus undatus subsp. luteocarpus, Hylocereus undatus subsp. luteocarpus

Reclassified from Hylocereus undatus to Selenicereus undatus in 2017

Common Name(s)
Dragon Fruit, Red Pitaya, Pitahaya, Night-Blooming Cereus, Celle of the Night, Queen of the Night, Strawberry Pear, Moonlight Cactus

Origin
Native to Central and South America, from Mexico to Honduras

Light
This plant will love a bright spot where it gets a couple of hours of morning or evening sun and bright, indirect light the rest of the day. Near an east- or west-facing window would be ideal for this plant. Too much sun in summer can scorch this plant, while too little leaves it vulnerable to rot.

Water
Let this plant dry out almost entirely between waters. It can be very drought tolerant if needed, but it's best not to test this out too regularly. Reduce watering in autumn and winter when the plant will be dormant and not growing.

Humidity
Average humidity is fine for the Dragon Fruit plant; make sure it is not too close to operating radiators which will dry it out too much, or in a really damp environment that puts it at risk of rotting.

Soil
Use a well-draining cactus or succulent mix. These mixes should contain sand or grit to help improve aeration. Ensure the pot has drainage holes to prevent waterlogging. Repot every 2-3 years to refresh the soil and accommodate growth.

Food
Feed monthly during the growing season (spring to summer) with a balanced, water-soluble fertiliser. In autumn and winter, reduce feeding to once every 6-8 weeks or stop entirely when the plant is dormant.
When the plant is budding or in bloom, use a feed high in potassium, such as a tomato feed, to keep it flowering longer.

Temperature
Ideal temperatures range from 15-26°C. Protect the plant from frost and avoid exposure to temperatures below 10°C.

Pet-safe
Yes, they are non-toxic, but too much nibbling won't be good for pets, small humans or the plant! Just watch out for their spiky stems.

Sprouts Top Tips
You can use a sturdy trellis or pole to train the plant upward as it grows. Prune the plant in spring if necessary to manage its size and encourage healthy growth.

Did You Know?
Hylocereus undatus is a night-blooming plant with large, fragrant flowers that open for a single night. Pollination by bats, moths, or by hand is required for fruit production.

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SKU: 5693204724

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Nader
New York, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
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noam barkay
Waukegan, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Houston, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
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Vineeth Sai
Houston, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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CL
West Palm Beach, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025

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