alternative wedding dresses Polina Ivanova Atelier | Verona in Chantilly lace
SKU: 80083930634
alternative wedding dresses

alternative wedding dresses Polina Ivanova Atelier | Verona in Chantilly lace

Sale price$23.93 Regular price$26.59
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Size: 4

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Description

alternative wedding dresses Polina Ivanova Atelier | Verona in Chantilly laceOne of our absolute bestsellers, the Verona is feminine, chic and infinitely sexy! This lace gown is very comfortable and stretchy and has a breathtaking silhouette which exudes grace and confidence. Now available with a deep plunging V neckline! You can choose between a full deep V (to the natural waistline) or half V (half the way to the waistline). All of our dresses are handmade in the EU with a great attention to detail from the most talented

One of our absolute bestsellers, the Verona is feminine, chic and infinitely sexy!
This lace gown is very comfortable and stretchy and has a breathtaking silhouette which exudes grace and confidence.


Now available with a deep plunging V-neckline!
You can choose between a full deep V (to the natural waistline) or half V (half the way to the waistline).

All of our dresses are handmade in the EU with a great attention to detail from the most talented seamstresses using high-end and sustainable materials.

The gown can be made to your custom measurements or you can order it in standard sizing. It has lots of stretch and is very comfortable and supportive. The length is always made to your own height even if you choose a standard size.
We'll send you a list with the measurements we'll need to advise on which size would be the best fit for you.


Production and Shipping
Production time - 7-8 weeks; Rush order option available
Free express shipping to the USA, Canada and EU countries via DHL (takes 1-6 days depending on your location).

Silhouette
Fit and flare silhouette

Built in bra cups
Our bra cups are very comfortable and have some push-up effect. We also add some soft boning for more support.

Color
Black;
More colors available

Lace and lining
High-end Chantilly lace
Two layers of soft crepe stretchy lining

Sleeves
Long lace sleeves with button detail at wrists

Train
- Chapel length train - considered a medium length and drags about 18-22 inches (45-55cm);
- Cathedral length train - drags about 36-40 inches (90-100cm) on the floor.

Special thanks to our stunning brides Elena, Paige, Sarah, Rebecca and Bailey for sharing their wedding pictures with us!
Photo credit:
Gonzalo Photography
Whitney Marie Photography
Moonlight Events and Photography
Cindy Sabrina - With Love Photography

Shipping Notes
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Exchange/Return Notes
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SKU: 80083930634

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4.8 ★★★★★
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S
Verified Purchase
Scott J. Pearson
Draper, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
San Leandro, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Alexandria, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Grantham, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Charlottesville, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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