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Description
disco party dress Silver Sequin Fringe Disco Dress, Studio 54 Outfit, Bachelorette Party Dress, Western Cowgirl Festival Dress, Silver Diamond DressSilver Diamond Sequin Fringe Disco Maxi Dress Channel the iconic glamour of Studio 54 with this silver diamond sequin fringe maxi dressdesigned to make you the center of attention at every event. Featuring a shimmering sequin fringe on a sheer mesh base, this strapless dress guarantees all eyes will be on you as it glides and sparkles with every step. Sparkling Sequin Fringe: Dynamic and dazzling, the sequin fringe flows and moves with grace, creating
Silver Diamond Sequin Fringe Disco Maxi DressChannel the iconic glamour of Studio 54 with this silver diamond sequin fringe maxi dressdesigned to make you the center of attention at every event. Featuring a shimmering sequin fringe on a sheer mesh base, this strapless dress guarantees all eyes will be on you as it glides and sparkles with every step.
Sparkling Sequin Fringe: Dynamic and dazzling, the sequin fringe flows and moves with grace, creating a mesmerizing effect.
Mesh Base Design: Subtle and sexy, offering a sheer yet sophisticated look.
Strapless Sweetheart Neckline: Flattering and feminine, perfect for showcasing your shoulders and collarbone.
Flowing Maxi Length: Designed to elongate your silhouette while adding drama and elegance to your look.
Studio 54 Vibes: Retro-inspired glamour thats perfect for modern-day fashionistas.
Where to Wear:
Wedding Receptions: Shine on your special day or as a guest with effortless style.
Cocktail Parties: Make a statement at upscale gatherings and parties.
Red Carpet Events: Command attention and exude elegance under the spotlight.
Night Outs: Dance the night away while turning heads with every twirl.
This dress isnt just clothingits an experience. The dynamic sequin fringe will move with you, catching the light and creating an enchanting effect on the dance floor. The timeless strapless design adds just the right touch of sophistication, while the mesh base ensures comfort without compromising style.
Be the epitome of disco-chic glamour with this one-of-a-kind dress, designed for unforgettable moments and dazzling entrances.
Model is 5‘10 (US 2/4, B 36", W 26", H 38") and wearing size Small on the photos.
* Due to monitor differences, colors can vary slightly. Please reach out before you place an order if you are not sure about the color/tone.
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4.3 ★★★★★
Based on 2146 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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