Pay in installments of $5.59 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 18 - Aug 23
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
princess in a blue dress Blue Flower Girl Dresses Sequin Baby Girl Dress Puffy Princess – TANYA BRIDALWedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories Produce Time 20 working days Rush order 10 working days( need pay extra fee) Shipping Methord DHL Fedex Ups TNT Epacket Post air mail Other Shipping Time 3 10 working days by DHL Fedex Ups TNT, 15 35 working days by epacket or post air mail Seller Email tanyanini@126. com Produce: OEM Brand Name: TANYA BRIDAL Dresses Length: Knee Length Silhouette: Ball Gown Actual
|
Produce Time |
20 working days |
| Rush order | 10 working days( need pay extra fee) |
| Shipping Methord | DHL/Fedex/Ups/TNT/Epacket/ Post air mail/Other |
| Shipping Time | 3-10 working days by DHL/Fedex/Ups/TNT, 15 -35 working days by epacket or post air mail |
| Seller Email | [email protected] |
| Produce: | OEM |
- Brand Name: TANYA BRIDAL
- Dresses Length: Knee-Length
- Silhouette: Ball Gown
- Actual Images: Yes
- Neckline: O-Neck
- Sleeve Length(cm): Full
- Style: Exquisite
- Fabric Type: Tulle
- is_customized: Yes
- Decoration: Appliques
- Decoration: Beading
- Decoration: Lace
- Model Number: 224201740
- Item Type: Flower Girl Dresses
- Sleeve Style: Regular
- Occasion: Flower Girl Dress,Celebrity Dress,Communion Dress
- Specification: Glitter Bow
- We Would like use Strong Marterial,the fabric is soft and looks awesome, Dry clean or cold water hand wash
- For standard size dress. we would come out based on our standard size table, before you order, please make sure the detail measurement matched the size you need. System default size is based on US size.If you need to customize size，please feel free to contact us.
Size Chart:
Buyer can choose size according to the size chart below
If size not fit to you ,you can choose custom made ,but please contact with us first .Thank you !
Shipping:
After your payment ,we will ship your dress out within 15 working days .
Before we ship dress out ,we will confirm the dress photos with you .
Usually we choose DHL ,UPS,Fedex,Epacket to shipping your dress out according to your country policy .
Also we can send to you the tracking number after we ship goods out .
Notes:
1.The item will be sent to your address,please make sure the address is correct and please let me know your contact name (Full name) and your phone Number
2.The dress does not incloud any accessories such as :wedding veils ,gloves or petticoat.
3.If you are concerned about the return policy before placing the order,please read our return policy carefully at the bottom of page.
4.The taxs are charged by your country,so we will do not cars of them,thank you for your co-operations and standing .
Enjoy your perchase.
Refund policy:
Please confirm your order (right size, color, style) carefully before you decide to place the order. All the orders are arranged according to your order confirmation.
As always, if there is a problem or if the item is unsatisfactory, please do contact us first for a quick and satisfactory resolution, such as, refund or exchange another new item for you.
Please kindly contact us for the return at first within 48 hours after receiving the item.
The returned item must be in perfect condition, as it was sent to you, has not been altered and has not been worn. If there is any dust, dirty spots, change and so on, we shall not offer refund.
We offer FREE REPAIR on your dress! But the postage to send it back and re-shipping cost to you will be both on your account.
It is required that the item or dresses should be returned to us within 14 days after the return request is accepted.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.4 ★★★★★
Based on 11 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024