faux olive plant in pot Artificial Silk Faux Olive Tree In Pot
SKU: 30950455147
faux olive plant in pot

faux olive plant in pot Artificial Silk Faux Olive Tree In Pot

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Description

faux olive plant in pot Artificial Silk Faux Olive Tree In PotPRODUCT Fake Tree Artificial Plant Artificial Tree Handmade Olive Tree In Pot *Decorative baskets or planters in the images are NOT included PLANT Olive Tree DIMENSIONS & WEIGHT [Small] 15. 7" W X 31. 5" Tall; Pot 4. 3" D X 3. 9" H; 2. 3 lb [Medium] 30. 3" W X 41. 7" Tall; Pot 4. 7" D X 4. 3" H; 2. 2 lb [Large] 19. 7" W X 47. 2" Tall; Pot 4. 7" D X 4. 3" H; 4. 7 lb [X Large] 27. 5" W X 66" Tall; Pot 5. 5" D X 7. 5" H; 11 lb MATERIAL Silk Cloth, Latex

PRODUCT

Fake Tree/ Artificial Plant / Artificial Tree - Handmade Olive Tree In Pot

*Decorative baskets or planters in the images are NOT included

PLANT

Olive Tree

DIMENSIONS & WEIGHT

[Small] 15.7" W X 31.5" Tall; Pot 4.3" D X 3.9" H; 2.3 lb

[Medium] 30.3" W X 41.7" Tall; Pot 4.7" D X 4.3" H; 2.2 lb

[Large] 19.7" W X 47.2" Tall; Pot 4.7" D X 4.3" H; 4.7 lb

[X Large] 27.5" W X 66" Tall; Pot 5.5" D X 7.5" H; 11 lb

MATERIAL

Silk Cloth, Latex Coated, Plastic, Other

COLOR

Green, Black, Mixed Colors 

When you end your whole day working and go back to your house, you are hoping to relax yourself in a very comfortable room. It’s very refreshed if you decorate some green plants on your house. If you get spare time, you can plant some real green plants and flowers on your balcony. You can enjoy the energetic growing-up vitality of the green plants and finally enjoy the flowers or the fruits of them. However, if you are so busy with your job and don’t have time to take care of them, you can take the artificial flowers or plants instead to decorate your house. Thanks to the development of the craftsmanship, the artificial plants nowadays look so vivid that you even cannot tell them from the real one. Take the artificial olive tree for instance, it’s made of the silk cloth, latex coated, plastic, etc. and most of them are the degradable materials. We have small, medium, large and X large four sizes for your selection, which mean that no matter you want to decorate it on your hall table, study desk or the corner, you can easily choose the right sizes. Olive tree bring hope and energy to people, don’t hesitate and just get one now!

SHIPPING INFORMATION

Product ships out within 48 business hours of receiving order; Ships to United States, Canada and the rest of the world; Ships via USPS, UPS or FedEx; Ships as small parcel

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SKU: 30950455147

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4.5 ★★★★★
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Product Reviews
N
Nader
Pawtucket, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Whiting, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Lake Worth, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Lexington, 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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