linen beach dress White Cotton Linen Goddess Kaftan Dress, Deep V Neck Kaftan Dress
SKU: 35242152805
linen beach dress

linen beach dress White Cotton Linen Goddess Kaftan Dress, Deep V Neck Kaftan Dress

$21.36 $23.73
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No.2 Bestseller on fmrflorida.com >
Size: 4
Size Recommendation How To Measure

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Ships within 48 hours · Estimated delivery Jul 2 - Jul 7

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Description

linen beach dress White Cotton Linen Goddess Kaftan Dress, Deep V Neck Kaftan DressIntroducing our Acacia Cotton Linen Goddess Dress in off white, a stunning addition to our Goddess Collection. This dress is lovingly handcrafted with 100% cotton linen and is ideal for both casual beach days and elegant nights out. The elastic waistband and bat wing sleeves offer a feminine, bohemian style, while the lightweight fabric and two side pockets ensure comfort and versatility. Plus, the self belt highlights the waist for a flattering

Introducing our Acacia Cotton Linen Goddess Dress in off-white, a stunning addition to our Goddess Collection. This dress is lovingly handcrafted with 100% cotton-linen and is ideal for both casual beach days and elegant nights out. The elastic waistband and bat-wing sleeves offer a feminine, bohemian style, while the lightweight fabric and two side pockets ensure comfort and versatility. Plus, the self-belt highlights the waist for a flattering touch.

Features:

  • Soft cotton linen-blend, no lining
  • Elastic waistline
  • Slipover style
  • Deep neckline
  • Free size. Fits most (sizes: 0-14)
  • Bat-wing sleeves
  • Sheer/Soft feel
  • Relaxed fit
  • Side slits
  • Includes matching belt
  • Designed in-house and Handcrafted in our small atelier in Thailand

Size + Fit

Model  is a US size 2/4, S and 175cm/5'8 tall.

One size fits for size S-L (US size 4-12)

Care

• Hand washing recommended 
• Gentle machine wash with no heat dry
• First wash separately for tie dyed item

All Coco de Chom Pieces that everyone can truly feel themselves in. Free flowing fabrics, designed to fit everyone.

 Chest & Hip  45 inches
Length from waist to hem  37-38 inches
Material 100% Cotton Linen

     

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    Exchange/Return Notes
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    SKU: 35242152805

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    4.3 ★★★★★
    Based on 1690 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
    Cuba, 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
    Boise, 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
    Lexington, 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
    New York, 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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