sexy bodycon mini dress Sexy Bodycon Dress with Garter / Women's Black Mini Dress with Decorative Red Fasteners
SKU: 49324754157
sexy bodycon mini dress

sexy bodycon mini dress Sexy Bodycon Dress with Garter / Women's Black Mini Dress with Decorative Red Fasteners

$22.58 $25.09
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Size: 4
Size Recommendation How To Measure

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Description

sexy bodycon mini dress Sexy Bodycon Dress with Garter / Women's Black Mini Dress with Decorative Red FastenersWomens Black Bodycon Dress With Garter Sexy Gothic Cloth. Just take a look at our new model of a womens mini dress in a gothic style. This black dress has a tight fitting cut that will emphasize your figure as best as possible, and it also has a stylish insert in the form of a garter that will attract your attention. So choose your size and order this black mini dress for your wardrobe. IMPORTANT Knowing your body measurements, refer to the Size Chart

Women’s Black Bodycon Dress With Garter - Sexy Gothic Cloth.

Just take a look at our new model of a women’s mini dress in a gothic style. This black dress has a tight-fitting cut that will emphasize your figure as best as possible, and it also has a stylish insert in the form of a garter that will attract your attention. So choose your size and order this black mini dress for your wardrobe.

IMPORTANT
Knowing your body measurements, refer to the Size Chart to compare them with the actual measurements of the item, which will help you choose the right size to buy.

Gender: Female
Sleeve Style: Spaghetti Strap
Silhouette: Sheath
Decoration: Fasteners, Garter
Style: Alternative Fashion Style
Dresses Length: Above Knee, Mini
Material: Polyester, Spandex
Closure Type: Pullover
Waistline: Natural
Pattern Type: Solid
Sleeve Length: Sleeveless
Profile Type: X
Color: Black

Once you know your body measurements, consult the Size Chart for actual item measurements to determine which size you should purchase.

Size Bust
(inch)		 Waist
(inch)		 Hips
(inch)		 Length
(inch)
S 28.35-35.43" 22.44-34.65" 29.92-37.8" 22.05"
M 29.92-37.01" 24.02-36.22" 31.5-39.37" 22.64"
L 31.5-38.58" 25.59-37.8" 33.07-40.94" 23.23"


Size Bust
(cm)		 Waist
(cm)		 Hips
(cm)		 Length
(cm)
S 72-90cm 57-88cm 76-96cm 56cm
M 76-94cm 61-92cm 80-100cm 57.5cm
L 80-98cm 65-96cm 84-104cm 59cm

Click here to run the measurement system converter.
*These charts are for reference only. Fit may vary depending on the construction, materials, and manufacturer.
Note that real colors may be slightly different from the pictures due to the screen resolution, brightness, contrast, etc.

How to Measure
To choose the correct size for you, measure your body as follows:

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SKU: 49324754157

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4.1 ★★★★★
Based on 397 reviews
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Product Reviews
S
Verified Purchase
Scott J. Pearson
Los Angeles, 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
Lake Worth, 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
West Palm Beach, 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
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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