SKU: 8817464729

Aussies Market Folding Patio Side Table with Tempered Glass Tabletop

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Description

Aussies Market Folding Patio Side Table with Tempered Glass TabletopBring this lightweight folding table anywhere you want! This patio table is made of rustproof steel frame and tempered glass tabletop, which features high density and can be used outdoors for a long time. 4 legs are equipped with non slip foot pads to prevent the floor from getting scratched. And the X shaped structure offers strong support. With a folding design and compact size, the round dining table will not occupy too much space when not in use.

Bring this lightweight folding table anywhere you want! This patio table is made of rustproof steel frame and tempered glass tabletop, which features high density and can be used outdoors for a long time. 4 legs are equipped with non-slip foot pads to prevent the floor from getting scratched. And the X-shaped structure offers strong support. With a folding design and compact size, the round dining table will not occupy too much space when not in use. Besides, it is convenient to store and transport. This versatile side table can be used as a coffee table or patio table to meet your different needs.

Bullet Point:

No Assembly Required: To give you a better user experience, our patio side table with a folding design makes it effortless to fold and unfold, you just need to adjust the security lock up or down. It only weighs 3.5kg, so you can bring the table anywhere you want without effort. With a compact size, this patio side table will take up less space when not in use.

High-Quality Tempered Glass Tabletop: This bistro table features a sturdy tempered glass tabletop, improving overall safety and durability. In addition, the delicate tabletop can place snacks, drinks and your favourite books. And the rounded corners prevent accidental scratches.

Sturdy & Durable Side Table: Constructed from a powder-coated steel frame, this patio side table is strong enough to hold up to 110 lbs and is durable for all-weather use. Besides, X-shaped structure for added stability. 4 non-slip foot pads protect your floor from scratches. Once the locking system is in place, the table will not fold during use.

Suitable for Various Occasions: This stylish folding table is a perfect choice for you to take a cup of tea in your backyard, balcony, or poolside or enjoy a camping trip outside. With a simple and elegant appearance, this round side table matches well with any indoor and outdoor area.

Easy to Clean & Maintain: The smooth surface is easy to clean thanks to the waterproof and rustproof finish, which allows you to spend less time cleaning and more time relaxing. You just need to wipe the stain with a dump cloth. Overall dimension: 46 x 47.5 cm(D x H).

Features:

The high-quality powder-coated steel frame can stand the test of time

Premium tempered glass tabletop improves durability

Strong X-shaped frame and non-slip feet ensure stability

Keep your daily items within reach with a compact tabletop

Perfect for a picnic or barbecue benefits from the compact size

The folding design significantly saves space when not in use

Perfect for poolside, backyard, garden and more

The locking system for convenient and safe use

The waterproof surface is easy to clean and maintain

No assembly required

Specifications:

Colour: Black

Material: Tempered Glass, Steel

Product Dimensions:46 x 46 x 47cm (L x W x H)

Net Weight:3.5 kg

Package Includes:

1 x Round Table

Shipping Notes
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Exchange/Return Notes
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SKU: 8817464729

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4.5 ★★★★★
Based on 14 reviews
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Product Reviews
N
Nader
Lowell, 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
Birmingham, 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
Charlottesville, 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
Los Angeles, 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
Alexandria, 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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