SKU: 90283645029
long blue prom dress

long blue prom dress Blue satin v neck lace long prom dress, blue evening dress – dresstby

$19.85 $22.05
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Ships within 48 hours · Estimated delivery Oct 9 - Oct 14

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

long blue prom dress Blue satin v neck lace long prom dress, blue evening dress – dresstbyThis dress is Made To Order. Whether you choose a standard size or custom measurements, our tailors craft each dress to order. The total time to receive your order is around 20 25 days. Please feel free to contact us if you have any questions, thank you! If you need rush order service ,Please click on: RUSH MY ORDER Item Descriptions: Product Code: DS55Silhouette: A LineLength: Floor LengthFabric: Satin, LaceBack Style: Lace UpBuilt In Bra: YesShown

This dress is Made-To-Order. Whether you choose a standard size or custom measurements, our tailors craft each dress to order. The total time to receive your order is around 20-25 days. Please feel free to contact us if you have any questions, thank you!
If you need rush order service ,Please click on: RUSH MY ORDER 

Item Descriptions:

Product Code: DS55
Silhouette: A-Line
Length: Floor-Length
Fabric: Satin, Lace
Back Style: Lace-Up
Built-In Bra: Yes
Shown Color: Blue

Custom Size:
For custom order, we need the following information in the order notes when you check out :
Bust: ______ cm/inch
Waist: ______ cm/inch
Hips: _______cm/inch
Shoulder to shoulder : _______ cm/inch (measured from back of shoulder)
Shoulder to waist : _______ cm/inch (measured from middle of shoulder over nipple to natural waist)
Shoulder to hem with shoes on: _______ cm/inch (measured from middle of shoulder over nipple to end of skirt)
Armhole __________ cm/inch (end of arm) only used for one shoulder or off shoulder dress.

Any questions about the item, feel free to Contact Us. E-mail: [email protected]


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
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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: 90283645029

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4.1 ★★★★★
Based on 29 reviews
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P
Paul Pollock
Whiting, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for. Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience! This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects. Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me. This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2025
A
Allen Wyma
Draper, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
O
Om S
West Palm Beach, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Grantham, 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
Omaha, 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

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