SKU: 34484108633
lace red dress prom

lace red dress prom Red Tulle Lace V Neck Short Prom Dress Homecoming Dresses with Applique, MH301

$18.41 $20.45
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Ships within 48 hours · Estimated delivery Oct 18 - Oct 23

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

lace red dress prom Red Tulle Lace V Neck Short Prom Dress Homecoming Dresses with Applique, MH301Thanks for visiting our store! The dress could be custom made, and there are no extra costs to do custom size or color. If you have any questions, please freely email us at: musebridals@gmail. com. Description: 1. Style: Ball gown, Column, Mermaid or A line style. 2. Material: Satin, Silk, Taffeta, Organza, Chiffon, Lace, Tulle, Double DFY fabric, etc. 3. Length: Floor Length, Knee length, Tea Length. 4. Embellishment: Sequins, Pleats, Split, Beading,

Thanks for visiting our store! 

The dress could be custom made, and there are no extra costs to do custom size or color. If you have any questions, please freely email us at: [email protected].

 - Description:

1. Style: Ball gown, Column, Mermaid or A-line style.
2. Material: Satin, Silk, Taffeta, Organza, Chiffon, Lace, Tulle, Double DFY fabric, etc.
3. Length: Floor Length, Knee length, Tea Length.
4. Embellishment: Sequins, Pleats, Split, Beading, Embroidery, Appliques, Flowers, Ruffles, etc.
5. Color: Picture color or Custom color.
6. Closure: Zipper back, Lace up back, Backless, Button, etc.

 - Size:

Standard size or Custom size, for custom size, please refer to the below measurement guide and send us the following measurements(In inches or cm):

1. Bust = _____inches/cm
2. Waist = _____inches/cm
3. Hips = _____inches/cm
4. Shoulder to Shoulder from back = _____inches/cm
5. Full height from top head to floor no shoes= _____inches/cm
6. Collarbone to floor= _____inches/cm
7. The height of shoes= _____inches/cm

For long sleeve dresses, we also need:
8. Arm length= _____inches/cm 
9. Armhole= _____inches/cm 
10. Armpit= _____inches/cm 
11. Wrist= _____inches/cm

 

 - Processing Time (Including shipping):

Normal: within 25 days.
Rush order: within 15 days, but there is a extra charge of US$30 for quick service.
(Shipping time: usually 3 to 7 days by international express)

- More Information:

1. Shipping Method: by FedEx, TNT, UPS, DHL or some special airlines.
2. Packaging: plastic bags or delicate box package, each dress will be packed tightly with water proof bag to save your shipping cost.
3. Payment Method: we accept Credit Card and PayPal payment, easy and safe.
4. Return policy: please refer to our return policy.

- Our Advantage: 

We have been supplying dresses for some famous brands for a long time, we also make dresses for designers from European and USA, here we have advanced sewing tech, modern factory and experienced tailor team. Our strong team could make sure each dress will be your dream dress.

- Feedback:

Much appreciated if you can leave us a 5 STAR positive feedback if you are satisfied with our items and services. If there are any problems with the dress you received, please contact us within 2 days and we will try our best to help.

Thank you and happy shopping here!

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: 34484108633

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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
J
Jiewen Wang
Phoenix, 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
Alexandria, 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
Whiting, 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
Belleville, 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
Bozeman, 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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