SKU: 95176593197
black out asiatic lily

black out asiatic lily Black Out Asiatic Lily Bulbs, Lilium

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black out asiatic lily Black Out Asiatic Lily Bulbs, LiliumSpectacular lilies for your garden; its easy. Everybody loves lilies, and today's hybrids are a snap to grow, unlike some of the more difficult ones of the past. Today's favorites are no more work than growing a tulip or daffodil. Growing Lilies: True lilies (which don't include Daylilies and others which are not in the genus Lilium) are easy to grow today, and more popular every season. Since they are upright and take practically no space at ground

Spectacular lilies for your garden; its easy. Everybody loves lilies, and today's hybrids are a snap to grow, unlike some of the more difficult ones of the past. Today's favorites are no more work than growing a tulip or daffodil.


Growing Lilies: True lilies (which don't include Daylilies and others which are not in the genus Lilium) are easy to grow today, and more popular every season. Since they are upright and take practically no space at ground level, it's easy to plant lilies between other established perennials and shrubs. Most can also tolerate some shade, which adds versatility for the gardener. There are many lily groups, but to keep it simple, we will consider only a few of the main types that are important to gardeners. Each lily we ship includes complete instructions for planting. So don't hesitate. You can easily bring the spectacular beauty of lily flowers to any summer meadow or garden.

'Wild' Lilies or 'Species' Lilies These are the true wildflowers from the world over. They are the ones all the glamorous hybrids are descended from. We're fortunate to have some of these botanical treasures on our list of lilies this season.

Oriental Hybrid Lilies are the now famous, very fragrant ones with large, flattened flowers such as red Stargazer and white Casa Blanca. These are the ones now so popular in the floral trade, but are also very easy to grow. They bloom from mid-summer through early fall. Most have very large, outward-facing, fragrant flowers.

Asiatic Hybrid Lilies are today's largest group of garden lilies, quite easy to 'naturalize'. This growing group of lilies was begun by hybridizers in the US, and were first called 'Mid-Century Hybrids.' Compared to Orientals, the Asiatic Hybrid lilies bloom earlier (early to mid summer), the plants are shorter, the flowers a bit smaller, and most blooms are upward-facing and star-shaped. Some of the most famous Asiatic Hybrids are yellow 'Connecticut King,' and the famous red, 'Gran Paradiso.'

Tiger Lilies. This group is led by the famous old orange wild lily, which used to be called Lilium tigrinum. Botanists have changed that to Lilum lancifolium, but that doesn't stop most people (including us) from using the old name 'tigrinum.' From the original orange, the hybridizers have created new colors from white to pink. All have the large flowers, black spots, and tough perennial qualities of the original. (By the way, don't call any old spotted orange lily 'tiger lily'. This one is the real thing, and no lily common name is more mis-used.)

Trumpet Lilies Sometimes called 'Aurelian Hybrids' or other names, the large, tall trumpet lilies are all descended from The Regal Lily, a white wild species lily from China. All are incredibly fragrant, and wonderful for cutting. They grow tall, and often need staking, since a well-grown stalk can have over 15 huge flowers.

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SKU: 95176593197

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Ryan Meyer
Draper, 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
Omaha, 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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Verified Purchase
CL
Lake Worth, 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
A
Verified Purchase
Amazon Customer
Port Orchard, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
Houston, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021

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