high tea dresses for women 265 Afternoon Tea Dress
SKU: 75725232758
high tea dresses for women

high tea dresses for women 265 Afternoon Tea Dress

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Description

high tea dresses for women 265 Afternoon Tea DressWomen's Sizes XS 3XL This sewing pattern pays homage to the tea gowns of the Edwardian era, evoking the elegance and sophistication of the early 20th century. The gracious life of the proper Edwardian lady demanded different fashions for different times of the day. Tea gowns were worn during the later afternoon, marking the time between daywear and eveningwear. They were immensely popular because women could put the tight corsets aside for several

Women's Sizes XS-3XL

This sewing pattern pays homage to the tea gowns of the Edwardian era, evoking the elegance and sophistication of the early 20th century.  The gracious life of the proper Edwardian lady demanded different fashions for different times of the day. Tea gowns were worn during the later afternoon, marking the time between daywear and eveningwear. They were immensely popular because women could put the tight corsets aside for several hours and enjoy the comfort of these loose-fitting, casual styles of soft layered fabrics, yet still be tastefully presentable for visitors.

Our Afternoon Tea Dress, inspired by the Edwardian tea gowns from 1912-13, is adaptable to any occasion or time of day. Whether made as a sumptuous wedding gown, feminine maternity fashion, slinky nightclub number, or tops for everyday, the versatile elements add up to a memorable impression. The Dress features an optional drape that is artfully arranged at center front and held in place with shirred Belt. The easy-sew Bow can be attached at the front or back of the Belt for further ornamental texture. The Sweetheart Tunic wraps in front and can be held in place with Belt or Bow. The ruffled-sleeve Pullover Tunic can be worn belted or hanging straight.  These tops are also wonderful on their own, or worn as modern everyday wear.

This pattern is huge, with 4 garment and accessory patterns included, as well as detailed cutting and sewing instructions and 4 pages of professional tips for sewing success. 

Suggested Fabrics:  
Dress, Drape, Belt, Bow: Silk Polyester satin, brocade, jacquard; lightweight silk or rayon velvet.
Tunics: lightweight and/or sheer cotton, silk, rayon, polyester; lace; novelty velvet.

Sizing and Yardage Chart (pdf)

This pattern is available as a Paper Pattern and a PDF pattern.  Choose the version you want in the drop down menu.  The PDF pattern includes instructions, copy shop versions (A0 and 36" wide), and print-at-home files, as well as 4 pages of professional sewing tips.

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SKU: 75725232758

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Scott J. Pearson
Natrona Heights, 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
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Jason Bolton
Grantham, 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
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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.
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Reviewed in the United States on June 25, 2024
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Matt B
Birmingham, 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
Pawtucket, 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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