SKU: 50185746157
blue and white maxi dress with sleeves

blue and white maxi dress with sleeves Aspiga Ladies Sustainable Organic Cotton Mykonos Maxi Dress | White/Blue XXS-XXL

$24.31 $27.01
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Description

blue and white maxi dress with sleeves Aspiga Ladies Sustainable Organic Cotton Mykonos Maxi Dress | White/Blue XXS-XXLIntroducing the Mykonos Organic Cotton Maxi Dress. A best selling style, this pull on maxi kaftan dress features a bold floral print with a contrast print on the neck, hem and cuffs. Ideal for holidays and hot summer days, the dress is unlined to keep you cool. If you find the neckline too low or wish to transition your Mykonos kaftan into a dress to take you from day to night we recommend pairing with our Cami V Midi Slip Dress. If in doubt please

Introducing the Mykonos Organic Cotton Maxi Dress. A best-selling style, this pull-on maxi kaftan dress features a bold floral print with a contrast print on the neck, hem and cuffs. Ideal for holidays and hot summer days, the dress is unlined to keep you cool.

If you find the neckline too low or wish to transition your Mykonos kaftan into a dress to take you from day to night we recommend pairing with our Cami V Midi Slip Dress.

If in doubt please size up

By popular demand, we now offer this dress in two lengths; our existing regular length is recommended for people over 5ft 6, and our petite length which is recommended for women who are 5ft 5ins and under, or for those who would like to wear it more at a midi length. The fit of the dress is unchanged and is not a petite fit. It's the same as the regular fit but just 7.5cm shorter. 

Product Details

Size

  • Lifestyle model is 5'9", a UK 8 and wears a size XS

Highlights

  • Made from 100% Organic Cotton
  • Organic Cotton Lightweight cotton
  • Unlined
  • Pull on style
  • Empire curved waist seam
  • Maxi length 3/4 length sleeves
Fit and Fabric

    Garment Measurements

    Regular Length

    Size XXS: Length 139.5cm, Waist 81.5cm, Bust 93.5cm, Sleeve Length 46.7cm.
    Size XS: Length 140cm, Waist 84cm, Bust 93.5cm, Sleeve Length 47cm.
    Size S: Length 141cm, Waist 89cm, Bust 101cm, Sleeve Length 47.7cm.
    Size M: Length 142cm, Waist 94cm, Bust 106cm, Sleeve Length 48.4cm.
    Size L: Length 143cm, Waist 99cm, Bust 111cm, Sleeve Length 49.1cm.
    Size XL: Length 144cm, Waist 104cm, Bust 116cm, Sleeve Length 49.8cm.
    Size XXL: Length 145cm, Waist 109cm, Bust 121cm, Sleeve Length 50.5cm.

    Petite Length

    Size XXS: Length 132cm, Waist 81.5cm, Bust 93.5cm, Sleeve Length 46.7cm.
    Size XS: Length 132.5cm, Waist 84cm, Bust 93.5cm, Sleeve Length 47cm.
    Size S: Length 133.5cm, Waist 89cm, Bust 101cm, Sleeve Length 47.7cm.
    Size M: Length 134.5cm, Waist 94cm, Bust 106cm, Sleeve Length 48.4cm.
    Size L: Length 135.5cm, Waist 99cm, Bust 111cm, Sleeve Length 49.1cm.
    Size XL: Length 136.5cm, Waist 104cm, Bust 116cm, Sleeve Length 49.8cm.
    Size XXL: Length 137.5cm, Waist 109cm, Bust 121cm, Sleeve Length 50.5cm.

    Washing Instructions

    • Wash with similar colours
    • Cold machine wash at 30°
    • Do not bleach
    • Do not tumble dry
    • Warm iron on reverse
    • Do not dry clean
    Sustainability

    Why Choose Organic Cotton?

    • Organic cotton is cultivated without the use of harmful chemicals, helping to ensure that the soil, air, and water remain free from pollutants that can cause harm. By choosing organic cotton, you're supporting water conservation, cleaner air, healthier soil, and improved livelihoods for farmers. Hand-picked to preserve its natural form, organic cotton feels softer on the skin and has a more refined appearance (always a plus). Additionally, it is chemical-free and hypoallergenic, making it a great choice for sensitive skin.
    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
    • Except Preorder products are shipped in 48 hours.
    • Delivery to the USA:
    1. Standard Shipping : 3-10 business days
    • If time is of the essence, please consider selecting expedited delivery for faster service.
    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: 50185746157

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    4.4 ★★★★★
    Based on 12 reviews
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    Product Reviews
    J
    Jiewen Wang
    West Palm Beach, US
    ★★★★★ 5
    a comprehensive guide at the intersection of generative AI and cybersecurity
    Format: Kindle
    This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on July 2, 2025
    N
    Nader
    Natrona Heights, US
    ★★★★★ 1
    Light on substance and heavy on flaws
    Format: Paperback
    The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on December 31, 2025
    N
    noam barkay
    Alexandria, US
    ★★★★★ 5
    Excellent book to truly understand LLM design patterns
    Format: Paperback
    I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on June 9, 2025
    R
    Ryan Meyer
    Carnegie, US
    ★★★★★ 3
    A Broad Overview, But Light on Modern Fine-Tuning
    Format: Paperback
    I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 10, 2025
    V
    Vineeth Sai
    Alexandria, US
    ★★★★★ 5
    Great foundation read for security!
    Format: Paperback
    This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on June 27, 2025

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