pale pink formal dress Elegant Spaghetti Strap A-line Floor-length Prom Dress, PD3002 – SposaBridal
SKU: 63295041508
pale pink formal dress

pale pink formal dress Elegant Spaghetti Strap A-line Floor-length Prom Dress, PD3002 – SposaBridal

$22.66 $25.18
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No.2 Bestseller on dreamy.tours >
Size: 4
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Ships within 48 hours · Estimated delivery Jul 2 - Jul 7

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For Your Every Summer RSVP, with Code: SUMMER15

Description

pale pink formal dress Elegant Spaghetti Strap A-line Floor-length Prom Dress, PD3002 – SposaBridalElegant Spaghetti Strap A line Floor length Prom Dress, PD3002 This dress could be custom made, there are no extra cost to do custom size and color. Description 1, Material: elastic satin. 2, Color: it can be in custom color, please contact us and tell us style number, then we will send you more colors to choose. 3, Size: standard size or custom size, if dress is custom made, we need measurement as following, please leave custom measurement and

Elegant Spaghetti Strap A-line Floor-length Prom Dress, PD3002

This dress could be custom made, there are no extra cost to do custom size and color.

Description
1, Material: elastic satin.
2, Color: it can be in custom color, please contact us and tell us style number, then we will send you more colors to choose.
3, Size: standard size or custom size, if dress is custom made, we need measurement as following, please leave custom measurement and information in the note of shopping cart.
bust______ cm/inch
waist______cm/inch
hip:_______cm/inch
shoulder to shoulder :_______cm/inch (measured from back of shoulder)
shoulder to bust :_______cm/inch (measured from middle shoulder to nipple)
shoulder to waist :_______cm/inch (measured from middle of shoulder to natural waist)
shoulder to floor with shoes on :_______cm/inch (length from middle of shoulder over nipple to floor with shoes on)
nipple to nipple:_______cm/inch
armhole__________cm/inch (end of arm)
4, Delivery time:
Rush order: within 1-3 weeks or even earlier.
Normal time: within 30 days, it's around 30-35 days (From Jan to April), it's busy season, so produce time will be a little long. 
5, Shipping: by UPS or DHL or some special airline.
6, Payment: Credit Card, PayPal, bank transfer, western union and so on.
7, Return Policy: please check Return Policy


Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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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: 63295041508

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4.2 ★★★★★
Based on 1274 reviews
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Product Reviews
S
Verified Purchase
Scott J. Pearson
Chelsea, 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
Charlottesville, 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
Waukegan, 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
Whiting, 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
Boise, 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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