off white wedding dresses off white wedding dress with puffy sleeves – Wedding dresses by Alena Plokhova
SKU: 94053398472
off white wedding dresses

off white wedding dresses off white wedding dress with puffy sleeves – Wedding dresses by Alena Plokhova

$18.93 $21.03
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Size: 4
Size Recommendation How To Measure

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Description

off white wedding dresses off white wedding dress with puffy sleeves – Wedding dresses by Alena PlokhovaAlice is a handmade dress. This dress is made from Italian tulle and hand embroidered with 3D flowers. The skirt has a slight shine as one layer of the skirt is made of tulle with sequins. The skirt of this dress consists of several layers of thin tulle, thanks to which the skirt outlines the contours of the figure and legs. Puffy sleeves are included. Approximate measurements of the finished dress: XS S Bust Waist Hips 82 90 cm 60 70 cm *Please

Alice is a handmade dress.This dress is made from Italian tulle and hand embroidered with 3D flowers. The skirt has a slight shine as one layer of the skirt is made of tulle with sequins.The skirt of this dress consists of several layers of thin tulle, thanks to which the skirt outlines the contours of the figure and legs. 

Puffy sleeves are included.

Approximate measurements of the finished dress:

XS-S

Bust
 Waist
 Hips
82-90 cm 60-70 cm -

*Please contact me before purchasing so I can check if the size of the dress will fit you. 


Other dress sizes are available on request, tailor-made to the measurements of the bride.

  • Color: off white 
  • Details: lace-up dress corset, train length 50 cm. Handmade cups. 
  • Materials: Italian tulle, sequined tulle, lace, 3D flowers, satin (polyester).


If you would like this dress to be made to your measurements, please follow the instructions below.

Made to order

Terms of tailoring dresses from 6 to 8 weeks, the terms depend on the workload of production. At the time of order, please contact me in order to find out more exact terms.

What measurements are needed for tailoring a dress: click here

Send me your measurements: click here  

How to place an order for tailoring a dress: click here




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SKU: 94053398472

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4.9 ★★★★★
Based on 343 reviews
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S
Verified Purchase
Scott J. Pearson
Waukegan, 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
Phoenix, 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
Alexandria, 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
Louisville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Fort Morgan, 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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