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strapless silk wedding dress Simple Satin Modest Strapless Wedding Dress With Ribbon Train – TANYA BRIDALWedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories Produce Time 15 working days Rush order 10 working days (extra $50) 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 tanyabridal@163. com Produce Kind OEM Brand Name: Tanya Bridal Fashion Element: Backless Wedding Dresses Model Number:
| Wedding Dresses | Wedding Guest Dresses | Special Occasion Dresses | Wedding Accessories |
|
Produce Time |
15 working days |
| Rush order | 10 working days (extra $50) |
| 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 Kind | OEM |
- Brand Name: Tanya Bridal
- Fashion Element:Backless Wedding Dresses
- Model Number:237271641
- Built-in Bra: Yes
- Neckline:Strapless
- is_customized: Yes
- Waistline: Natural Factors
- Sleeve Style: Sleeveless
- Silhouette: A Line
- For Pregnant Women: No
- Back Design: Zipper
- Dresses Length: Length
- Train: None
- Neckline: Strapless
- Wedding Dress Fabric: Satin
- Sleeve Length(cm): Sleeveless
- Item Type: Wedding Dresses
- plus size >16: extra fee $30
- Accessories: No
- 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 !
if you need custom made ,please give us your size according to this guide .
Color Chart:
Buyer can choose any color from the color Charts
Shipping:
After your payment ,we will ship your dress out within 25 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,but if you have suggestion,we will try our best to lower down such cases,thank you for your co-operations and standing .
Enjoy your perchase.
Refund policy:
Orders can be cancelled free of charge within 24 hours.
Cancellation from 24 hours to 48 hours requires a deduction of 30%.
Orders cancelled within 72 hours need to be deducted by 50%.
You can't cancel the order after 3 days.
Returns and exchanges are not supported
Thank you for your understanding and your order. Wish you a happy life
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
4.0 ★★★★★
Based on 46 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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