SKU: 41387671035
long red evening dress

long red evening dress Sexy Dark Red A Line Satin Prom Dress Deep V Neck – TANYA BRIDAL

Sale price$24.70 Regular price$27.45
Save 10%
Size: 4

Pay in installments of $6.86 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 20 - Jul 25

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

long red evening dress Sexy Dark Red A Line Satin Prom Dress Deep V Neck – TANYA BRIDALWedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories Produce Time 15 30 working days Rush order 10 15 working days Shipping Methord DHL Fedex Ups USPS 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 Kind OEM Brand Name: Tanya Bridal Neckline: V Neck Sleeve Length(cm): Sleeveless Train: NONE Dresses

Wedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories

 Produce Time

15-30 working days
Rush order 10-15 working days
Shipping Methord DHL/Fedex/Ups/USPS/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
  • Neckline: V-Neck
  • Sleeve Length(cm): Sleeveless
  • Train: NONE
  • Dresses Length: Floor-Length
  • Actual Images: Yes
  • Item Type: Prom Dresses
  • Sleeve Style: Sleeveless
  • Fabric Type: SATIN
  • Built-in Bra: Yes
  • is_customized: Yes
  • Decoration: Draped
  • Fashion Element: Backless
  • Waistline: Natural
  • Occasion: Prom
  • Model Number: 218201210
  • Material: Polyester
  • Silhouette: A-LINE
  • 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 .


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,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:

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:
  1. 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
SKU: 41387671035

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4.8 ★★★★★
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Product Reviews
J
Jiewen Wang
Whiting, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Louisville, 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
Omaha, 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
Pawtucket, 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
Chelsea, 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

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