dress sewing patterns Midi Dress Short Sleeve PDF Sewing Pattern – IndiePatterns
SKU: 44281712444
dress sewing patterns

dress sewing patterns Midi Dress Short Sleeve PDF Sewing Pattern – IndiePatterns

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Description

dress sewing patterns Midi Dress Short Sleeve PDF Sewing Pattern – IndiePatternsDesignLight and airy yet elegant, our sewing pattern for The Rory Dress scores with a flared hem and midi length. Whether festive or casual, the DIY dress is a true all rounder that you can reach for again and again. Our highlight? Definitely the flared sleeves. And dont worry about the seam covered zipper! In our video tutorial Juliana shows you step by step how easy it is! Content Sewing pattern for the dress in German and English (in sizes XS XXXL

Design
Light and airy yet elegant, our sewing pattern for The Rory Dress scores with a flared hem and midi length. Whether festive or casual, the DIY dress is a true all-rounder that you can reach for again and again. Our highlight? Definitely the flared sleeves. And don’t worry about the seam-covered zipper! In our video tutorial Juliana shows you step by step how easy it is!

Content
Required materials
  • light to medium weight, flowing fabric without or with little elastane, e.g. cotton denim or linen with a fabric width of at least 140cm (1.5yd):
    XS-S: 310cm (3.39yd) | M-L: 320cm (3.5yd) | XL-XXL: 330cm (3.61yd) | XXXL: 335cm (3.66yd)
  • an invisible zipper with a length of 60cm (24in)
  • Interfacing for ironing on, e.g. H200 with a width of at least 90cm (1yd): XS-XXXL: 40cm (0.44yd)
  • matching sewing thread
  • Sewing machine with sewing needle suitable for fabric thickness and presser foot for seam concealed zippers and presser foot for normal zippers
    Tip: We use a lightweight 100% cotton denim with a weight of 130g/sqm for the Rory Dress.

Size chart for standard sizes XS-XXXL
Finde die perfekte Größe für dich einfach mithilfe unserer Größentabelle. Measure your chest, waist and hip circumference and check the chart to see which size most closely matches your own measurements. For the Rory Dress, pay special attention to the chest measurement. Since the dress is flared, you won’t have to worry if your hip measurement is off.

Dimensions in cm XS S M L XL XXL XXXL
Bust 82 86 90 96 102 108 116
Waist 62 66 70 76 82 88 96
Hip 90 94 98 104 110 116 122
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SKU: 44281712444

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4.7 ★★★★★
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S
Verified Purchase
Scott J. Pearson
Boise, 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
Los Angeles, 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
Bozeman, 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
Lowell, 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
Birmingham, 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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