long sleeve sequin dress mini Pippa Silver Payette Long Sleeve Mini Dress
SKU: 84864020146
long sleeve sequin dress mini

long sleeve sequin dress mini Pippa Silver Payette Long Sleeve Mini Dress

$21.16 $23.51
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Size: 4
Size Recommendation How To Measure

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Description

long sleeve sequin dress mini Pippa Silver Payette Long Sleeve Mini DressIntroducing the Pippa Silver Payette Long Sleeve Mini Dress. Modeled after our viral Pippa Silver Sequin Mini Dress, now with long sleeves, this sister style packs a punch in style and sparkle. All eyes will be on you in this show stopping number. STYLE RECOMMENDATIONS: go all out and complete the look with a sequin bag and heels PRODUCT DESCRIPTION AND MATERIALS: silver paillettes long sleeve mini dress large payette sequins lined bell sleeve back

Introducing the Pippa Silver Payette Long Sleeve Mini Dress. Modeled after our viral Pippa Silver Sequin Mini Dress, now with long sleeves, this sister style packs a punch in style and sparkle. All eyes will be on you in this show-stopping number.

STYLE RECOMMENDATIONS:

- go all out and complete the look with a sequin bag and heels 

PRODUCT DESCRIPTION AND MATERIALS:

- silver paillettes long sleeve mini dress 

- large payette sequins

- lined

- bell sleeve 

- back zipper with hook and eye closure 

- 100% polyester

- hand wash cold

- do not bleach

- line dry 

- iron low if needed inside out  

SIZE RECOMMENDATIONS:

- runs true to size

- measured on a size small

Extra Small: 0-2

- length: 30.75”

Small: 2-4

- length: 31.25”

Medium: 6-8

- length: 31.75" 

Large: 8-10

- length:32.25” 

Extra Large: 10-12

- length: 32.75” 

MODEL DETAILS:

- Lily is 5'8

- Bust: 32 B

- Waist: 25"

- Wearing size Extra Small

RETURN POLICY:

We offer refunds & exchanges within 15 days of delivery with tags attached & in original, unworn conditions (restrictions apply). We reserve the right to refuse returns & not honor refunds on items that have been worn, stained/soiled, laundered or altered in any way. This includes such marks as bodily fluids, deodorant stains & removed/tampered with liners. For sanitary reasons, we ask that you try on items over underwear. All sale items are final sale. Final sale items are non-returnable and non-exchange. Final sale items include: jewelry, accessories, sale marked items, sale swim, and vintage garments.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
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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: 84864020146

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4.6 ★★★★★
Based on 1260 reviews
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Product Reviews
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
Massapequa, 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
Charlottesville, 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
Natrona Heights, 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
Grantham, 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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