women's long sleeve pink dress Magenta Knit Sweater Mini Dress – Long Sleeve Bodycon Fit | Mabel
SKU: 87565296287
women's long sleeve pink dress

women's long sleeve pink dress Magenta Knit Sweater Mini Dress – Long Sleeve Bodycon Fit | Mabel

$26.68 $29.65
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Size: 4
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Description

women's long sleeve pink dress Magenta Knit Sweater Mini Dress – Long Sleeve Bodycon Fit | MabelFinal Sale No Returns or Exchanges Magenta Long Sleeve Sweater Mini Dress The Margot Meet the Margot Magenta Ribbed Knit Dress, the ultimate upgrade for your winter wardrobe. This isn't just another sweater dress, it's a basic that can be styled for nay occasion. Made from a soft, stretchable ribbed knit, it creates a flawless fit that feels as incredible as it looks. The dress starts with a modern square neckline that beautifully frames your

Final Sale - No Returns or Exchanges

Magenta Long Sleeve Sweater Mini Dress - The Margot

Meet the Margot Magenta Ribbed Knit Dress, the ultimate upgrade for your winter wardrobe. This isn't just another sweater dress, it's a basic that can be styled for nay occasion. Made from a soft, stretchable ribbed knit, it creates a flawless fit that feels as incredible as it looks.

The dress starts with a modern square neckline that beautifully frames your collarbones, offering a sophisticated and clean-lined look. Its fitted long sleeves create a sleek and elegant profile. A flattering bodycon silhouette flows down to a mini hem, finished with a subtle yet sexy side slit that adds a hint of drama with every step.

Whether it's for a special night out or a chic evening with friends, the Margot dress is your go-to for effortless glam. Pair it with your favorite heels for a timeless look, or add a leather jacket for an edgier vibe.

Key Features

  • Modern Square Neckline: A unique detail that instantly elevates this sweater dress from casual to chic.

  • Streamlined Bodycon Fit: Designed to sculpt and define your figure for a confident, head-turning look.

  • Subtle Side Slit: Adds a touch of allure and allows for comfortable movement.

  • Soft Ribbed Knit Fabric: Provides stretch and warmth without sacrificing style, making it ideal for cooler seasons.

Styling Tips

  • For a Glamorous Night Out: Style with pointed-toe heels and a metallic clutch for a sophisticated and bold statement.

  • For an Edgy Vibe: Layer with a cropped leather jacket and chunky ankle boots to give the look some attitude.

Details & Fit

  • Fit: Fitted Bodice

  • Fabric: 80% Viscose, 20% Nylon

  • Care: Machine wash cold

  • Origin: Imported

Model Info

Height: 5'9"

Size: Wears a size small

Bust: 30.5"

Waist: 23.5"

Hip: 33.5"

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SKU: 87565296287

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4.5 ★★★★★
Based on 2139 reviews
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Product Reviews
S
Verified Purchase
Scott J. Pearson
Carnegie, 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
Cuba, 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
West Palm Beach, 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
Dallas, 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
Draper, 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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