baby blue floral dress Harlow Maxi Dress in Light Blue Floral
SKU: 43211700951
baby blue floral dress

baby blue floral dress Harlow Maxi Dress in Light Blue Floral

Sale price$20.06 Regular price$22.29
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Size: 4

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Description

baby blue floral dress Harlow Maxi Dress in Light Blue FloralThis gorgeous dress is a *vibe* and we are here for it. If you think the Harlow is stunning in photos, wait till you see it in person this dress will make a statement wherever you go! It features incredible puffed sleeves, a bustier style structured bodice, and a voluminous skirt. This floral gem is extra luxe, and 100% the choice when you're looking to stand out from the crowd. Pair it with a glam set of pumps for a night at the symphony, or with

This gorgeous dress is a *vibe* and we are here for it. If you think the Harlow is stunning in photos, wait till you see it in person - this dress will make a statement wherever you go! It features incredible puffed sleeves, a bustier-style structured bodice, and a voluminous skirt. This floral gem is extra-luxe, and 100% the choice when you're looking to stand out from the crowd. Pair it with a glam set of pumps for a night at the symphony, or with heeled sandals for a baby shower - just prepare yourself for the admiring glances!

FIT: Please note that the bodice runs very true to size, but the smocked back panel does provide additional stretch. Some wearers with a C-cup and larger may find the bodice uncomfortable due to the structured bra cups. Please refer to the size chart and consider your chest size before purchasing. For maternity: this dress will accommodate most baby bumps in your true size.

MATERIAL: Self: 80% Tencel, 20% Nylon; Lining: 100% Cotton.

GARMENT DETAILS: Lightweight maxi in a pastel floral print. Features an empire waist silhouette and structured bustier-style bodice, with smocking in the back. Finished with statement puffed sleeves, voluminous skirt, and back zipper. Lined.  


MEASUREMENTS: 

Flat lay measurements are approximate.

S M L
Total Length 48.5" 49.25" 50"
Chest 16" 17" 18"
Waist 13.5" 14.5" 15.5"
Sweep 52.5" 53.5" 54.5"
Sleeve Length 16.25" 16.5" 16.75"
1X 2X 3X
Total Length 51.5" 52.25" 53"
Chest 20" 21" 22"
Waist 17.5" 18.5" 19.5"
Sweep 54.5" 54.5" 54.5"
Sleeve Length 17.25" 17.5"

17.75"

 

MODEL DETAILS & FIT TIPS:

Models are wearing their true sizes. Our models agreed that wearers with larger chests will need to size up. 

Please review the model photos in this and other colorways to see the dress on various body styles.

MISSES Mackenzie - Size S Heather - Size S
Bust 34" 34"
Waist 27.5" 27.5"
Hips 40.5" 37.5"
Height 5'7"  5'7" 
CURVE Molly - Size XL Kendall - Size 1X Rya - Size 3X
Bust 37" 40" 51"
Waist 32" 36" 50"
Hips 47" 49" 60"
Height 5'7" 5'6" 5'8"
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SKU: 43211700951

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4.1 ★★★★★
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Verified Purchase
Scott J. Pearson
New York, 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
Lowell, 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
Houston, 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
Grantham, 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
Louisville, 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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