burgundy formal dress for wedding Yeona Burgundy Black-Tie Wedding Guest Maxi Dress
SKU: 28124056293
burgundy formal dress for wedding

burgundy formal dress for wedding Yeona Burgundy Black-Tie Wedding Guest Maxi Dress

$19.13 $21.26
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Size: 4
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Description

burgundy formal dress for wedding Yeona Burgundy Black-Tie Wedding Guest Maxi DressYeona Maxi Dress Burgundy The Yeona Maxi Dress in Burgundy exudes effortless elegance and timeless allure. Designed with a sculpted corset style bodice and a flattering square neckline, it enhances and defines the silhouette. Gentle draping at the waist creates a beautifully contoured shape, while the flowing floor length skirt adds graceful movement. Perfect for black tie events, wedding guests, and refined celebrations, this gown is made for

Yeona Maxi Dress - Burgundy

The Yeona Maxi Dress in Burgundy exudes effortless elegance and timeless allure. Designed with a sculpted corset-style bodice and a flattering square neckline, it enhances and defines the silhouette. Gentle draping at the waist creates a beautifully contoured shape, while the flowing floor-length skirt adds graceful movement. Perfect for black-tie events, wedding guests, and refined celebrations, this gown is made for unforgettable, sophisticated moments.

DETAILS

Length: Maxi

Stretch Factor: Non-Stretch

Sheer: NO

Invisible zipper & Lace-up back

PRODUCT MEASUREMENTS

XS: Bust 76 cm (29.9") | Waist 56–60 cm (22.0"–23.6") | Hips 85–89 cm (33.5"–35.0") | Length 149 cm (58.7")

S: Bust 80 cm (31.5") | Waist 60–64 cm (23.6"–25.2") | Hips 89–92 cm (35.0"–36.2") | Length 150 cm (59.1")

M: Bust 84 cm (33.1") | Waist 64–70 cm (25.2"–27.6") | Hips 92–96 cm (36.2"–37.8") | Length 151 cm (59.4")

L: Bust 88 cm (34.6") | Waist 70–74 cm (27.6"–29.1") | Hips 96–100 cm (37.8"–39.4") | Length 152 cm (59.8")

XL: Bust 92 cm (36.2") | Waist 74–78 cm (29.1"–30.7") | Hips 100–105 cm (39.4"–41.3") | Length 152 cm (59.8")

Fit Note: This style has a slim fit and runs smaller than standard North American sizing. We recommend reviewing the product measurements carefully and sizing up if you are between sizes.

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SKU: 28124056293

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4.3 ★★★★★
Based on 1033 reviews
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Product Reviews
S
Verified Purchase
Scott J. Pearson
West Palm Beach, 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
Whiting, 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
Bozeman, 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
Lexington, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Los Angeles, 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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