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Ships within 48 hours · Estimated delivery Jun 30 - Jul 5
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For Your Every Summer RSVP, with Code: SUMMER15
Description
sweet dress official Pink Quinceanera Dress Off Shoulder Corset 3D Flower Lace Appliques Gl – Msikoods Official StoreDetail Presentation Gorgeous Strapless Beaded Quinceanera Dresses Ball Gown Puffy Lace Prom Dresses with Train Floral Sweet 15 16 DressesHi friend, welcome to our store! Hope you can find your perfect dresses here. We accept both Credit card and Paypal payment. As a professional dress supplier, we are trying hard to make every dress perfect. Retail and wholesale are also warmly welcomed. Service email: Msikoods@gmail. com Condition Color: picture
Detail Presentation
Gorgeous Strapless Beaded Quinceanera Dresses Ball Gown Puffy Lace Prom Dresses with Train Floral Sweet 15 16 DressesHi friend, welcome to our store! Hope you can find your perfect dresses here. We accept both Credit card and Paypal payment.
As a professional dress supplier, we are trying hard to make every dress perfect. Retail and wholesale are also warmly welcomed.
Service email:[email protected]
Condition：
Color: picture color, and all the colors on our Color Chart are available.
Size: Standard size, please refer to our Size Chart,
Custom size: Measure Method
Closure: Zipper back or Lace up back.Evening dressGorgeous Strapless Beaded Quinceanera Dresses Ball Gown Puffy Lace Prom Dresses with Train Floral Sweet 15 16 DressesGorgeous Strapless Beaded Quinceanera Dresses Ball Gown Puffy Lace Prom Dresses with Train Floral Sweet 15 16 Dresses
Lining: Boned and Fully Lined.
Packing: Delicate box package or plastic bags.
It usually take 7-25 working days to finish the dress,the shipping time is 3-15 days
Return:
This is our Return Policy
Description：
1. Material: tulle, elastic satin, lace, satin.
2. Color: picture color or other colors, there are 126 colors are available, please contact us for more colors, please ask for fabric swatch.
3. Size: standard size or custom size, if dress is custom made, we need to size as following
Bust:______ cm/inch
Waist:______cm/inch
Hip:_______cm/inch
Hollow To Floor:_______cm/inch
4. Delivery time:
(1).Normal delivery time: Within 25 days (From May to Dec)
Around 30 days (From Jan to April), it's busy season together with spring festival holiday, so produce time will be long.
(2).Rush delivery time:Within 15 days(From May to Dec),But more complicated dresses take within 20 days.
5. Packing: in order to save your shipping cost, each dress will be packed tightly with water proof bag.
6. Shipping: by UPS or DHL or some special airline.
7. Payment: Paypal, bank transfer, western union, money gram and so on.
8. Return Policy:
We will accept returns if dresses have quality problems, wrong delivery time, we also hold the right to refuse any unreasonable returns, such as wrong size you gave us or standard size which we made right, but we offer free modify.
Please see following for the list of quality issues that are fully refundable for:
Wrong Size, Wrong Color, Wrong style, Damaged dress- 100% Refund or remake one or return 50% payment to you, you keep the dress.
In order for your return or exchange to be accepted, please carefully follow our guide:
(1). Contact us within 2 days of receiving the dress (please let us know if you have some exceptional case in advance)
(2). Provide us with photos of the dress, to show evidence of damage or bad quality, this also applies for the size, or incorrect style and colour etc.
(3). The returned item must be in perfect condition (as new), you can try the dress on, but be sure not to stretch it or make any dirty marks, otherwise it will not be accepted.
(4). The tracking number of the returned item must be provided together with the reference code issued.
(5). If you prefer to exchange dresses, then a price difference will be charged if more expensive.
(6). You are required to pay for the shipping fee to return or exchange the dress.
(7). When you return the package to us, please pay attention to the following points, if not, customers should pay for the duty:
we put all of our energy and mind into each dress, each of our dress are full of love, our long experience and skilled craftsmanship keep less return rate till now, but if there are our problems, we could return all your payment, for more details, please see our FAQ.
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
4.1 ★★★★★
Based on 284 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
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