photos of marilyn monroe in white dress 1950s Vintage Inspired Ivory Chiffon Halterneck Swing Dress
SKU: 41558287619
photos of marilyn monroe in white dress

photos of marilyn monroe in white dress 1950s Vintage Inspired Ivory Chiffon Halterneck Swing Dress

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Description

photos of marilyn monroe in white dress 1950s Vintage Inspired Ivory Chiffon Halterneck Swing Dress1950s vintage inspired ivory chiffon halterneck swing dress with a deep V neckline, fitted waist and full skirt for timeless retro glamour. Channel classic Hollywood elegance with this ivory chiffon halterneck dress, designed with a flattering fit and flare shape and a beautifully full swing skirt. The deep V neckline, ruched bust and tie neck halter straps create an iconic Marilyn Monroe style silhouette, while the open back and defined waistband add

1950s vintage inspired ivory chiffon halterneck swing dress with a deep V neckline, fitted waist and full skirt for timeless retro glamour.

Channel classic Hollywood elegance with this ivory chiffon halterneck dress, designed with a flattering fit and flare shape and a beautifully full swing skirt. The deep V neckline, ruched bust and tie-neck halter straps create an iconic Marilyn Monroe style silhouette, while the open back and defined waistband add graceful vintage-inspired detail.

Made from lightweight 100% polyester chiffon, this elegant ivory occasion dress is ideal for weddings, bridal events, prom, parties and summer celebrations. The full skirt gives the dress a romantic 1950s-inspired shape, making it perfect for vintage styling, formal occasions or standout retro eveningwear.

Key features and information:

  • 1950s vintage inspired halterneck swing dress.
  • Ivory / cream chiffon fabric.
  • 100% polyester.
  • Deep V halterneck with tie fastening.
  • Sleeveless design.
  • Ruched / gathered bust detail.
  • Fitted bodice with defined waistband.
  • Full swing skirt with fit and flare silhouette.
  • Open back design.
  • Back zip fastening.
  • Standard fit.
  • Length: 33" from underarm to hem.
  • Care instructions: Cool wash.

Suitable occasions:

  • Weddings.
  • Bridal events.
  • Bridesmaid outfits.
  • Prom.
  • Parties.
  • Formal occasions.
  • Vintage events.
  • Summer occasions.
  • Hollywood glamour themed events.
  • Special occasionwear.

Style with:

  • Nude or ivory heels for an elegant bridal or occasion look.
  • Pearl jewellery for classic 1950s styling.
  • A vintage-inspired clutch bag for formal events.
  • A petticoat underneath for extra swing skirt volume.
  • Red lipstick and soft waves for a Hollywood glamour finish.

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SKU: 41558287619

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Scott J. Pearson
Lake Worth, 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.
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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
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Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Port Orchard, 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.
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Reviewed in the United States on June 25, 2024
M
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Matt B
Alexandria, 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
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SR
San Leandro, 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.
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Reviewed in the United States on August 7, 2024

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