retro 60s dress 1960s Style Dress with Collar in Blue
SKU: 28213780776
retro 60s dress

retro 60s dress 1960s Style Dress with Collar in Blue

Sale price$18.10 Regular price$20.11
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Size: 4

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For Your Every Summer RSVP, with Code: SUMMER15

Description

retro 60s dress 1960s Style Dress with Collar in BlueSALE! 50% off! Back by popular demand, this dress from our 2019 collection is now again available for purchase! LIght blue sixties style summer dress. A simple style that lends itself impeccably to an array of moments by bridging the casual and sophisticated divide. Five petite white buttons atop the fitted bodice compliment the immediately sixties style pointed collar. The fabric provides no stretch but the natural flare of the skirt provides a

SALE! 50% off!

Back by popular demand, this dress from our 2019 collection is now again available for purchase!

LIght blue sixties style summer dress. A simple style that lends itself impeccably to an array of moments by bridging the casual and sophisticated divide. Five petite white buttons atop the fitted bodice compliment the immediately sixties style pointed collar. The fabric provides no stretch but the natural flare of the skirt provides a flattering silhouette on all body types.

Also available in lilac/white and mint green/white.

Choose bespoke for alternative colours, or to have short sleeves.

  • The model pictured is 175 cm tall and wears a size XS.
  • Fabric Content: 100% Polyester.
  • Fabric provides no stretch.
  • Back zipper.
  • Not lined.
  • Hand wash, hang to dry.
  • Produced in the EU from Spanish fabric.
  • As all of our garments are hand-made upon receipt of order, please allow approximately 4-6 weeks for delivery.
Shipping Notes
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  • Except Preorder products are shipped in 48 hours.
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  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 28213780776

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4.4 ★★★★★
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Verified Purchase
Scott J. Pearson
Louisville, 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
West Palm Beach, 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
Dallas, 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.
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Reviewed in the United States on June 25, 2024
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Verified Purchase
SR
Houston, 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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