SKU: 85995209608
asiatic.lily

asiatic.lily Peruvian Lilly (local pick up only)

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asiatic.lily Peruvian Lilly (local pick up only)Asiatic and Oriental are two of the most popular forms of true lilies available. Asian lilies bloom in June to July while Oriental bulbs start to appear in August. Both are quite easy to grow with thick, rigid stems, strappy leaves and showy flowers. Oriental lily cultivars, however, tend to Oriental lilies are available either in fall or in spring. Wait to plant until spring in areas with sustained freezes. Install bulbs 4 to 6 inches (10 15 cm.)

Asiatic and Oriental are two of the most popular forms of true lilies available. Asian lilies bloom in June to July while Oriental bulbs start to appear in August. Both are quite easy to grow with thick, rigid stems, strappy leaves and showy flowers. Oriental lily cultivars, however, tend to

Oriental lilies are available either in fall or in spring. Wait to plant until spring in areas with sustained freezes. Install bulbs 4 to 6 inches (10-15 cm.) deep with the pointed part upward. Orientation is very important when planting an Oriental lily. Some gardeners swear by the addition of some bone meal at planting, but this isn’t strictly necessary. That said, it will not hurt anything to do so. Bulbs should sprout and bloom the first year. Bulbs can withstand quite a bit of crowding and can be installed in containers too.

To answer the question, “what is an Oriental lily,” we first need to concede what a true lily is. There are many flowering plants referred to as lilies, but only true lilies are in the genus Lilium. They spring from bulbs with scales on the exterior and no protective skin. Oriental lilies are larger than their Asian counterpart and very fragrant, making them popular additions to the cut flower garden. Many Oriental lilies may grow 3 to 6 feet (1-2 m.) in height, much taller than Asiatic lilies.


Site selection is the most important aspect when planting an Oriental lily. Choose a location that is in full sun when growing Oriental lily plants.  We do not recommend Oriental Lilies as indoor plants since they true full sun in order to bloom - a light condition that almost none of us have inside our homes.

Luckily Oriental Lilies are one of the easiest plants to care for outside unless you live in a deer prone area, since those browsing animals seem to find lily bulbs as attractive as candy. Once bulbs bloom, keep them moderately moist. When blooms are spent, cut off flower stalks but allow foliage to remain until yellow and beginning to die. This will help fuel the bulb for the next year’s bloom.

In fall, mulch over the area with a few inches of organic bark mulch. Pull away in spring as soon as you begin to see sprouts. Fertilize bulbs once annually in spring with a good slow-release fertilizer. Once every 3 or so years, dig up the clusters of bulbs and divide them to increase plants and enhance flowers. If blooms are excessively large and begin to flop over, threatening the stem, simply stake them up until flowers are spent. Oriental lily plant care is one of the most straightforward. Northern gardeners use caution. If a harsh winter is expected, it might be best to dig up your bulbs and store them indoors, replanting them in spring.

Important: Oriental Lilies are *extremely* toxic to cats. Call a vet immediately if you believe your cat has been nibbling on one. They can also cause adverse gastrointestinal symptoms in dogs, especially if they are eaten in large amounts.


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J
Jiewen Wang
Louisville, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
Chelsea, 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
N
noam barkay
Alexandria, 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
R
Ryan Meyer
New York, 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
V
Vineeth Sai
Belleville, 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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