cream lace dress Rosie Lace Bodice Short Sleeve V-Neck Ballerina Dress
SKU: 32461415227
cream lace dress

cream lace dress Rosie Lace Bodice Short Sleeve V-Neck Ballerina Dress

$21.22 $23.58
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No.2 Bestseller on zutphensepracht.nl >
Size: 4
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Description

cream lace dress Rosie Lace Bodice Short Sleeve V-Neck Ballerina DressDescription & Details The Rosie Lace Bodice Short Sleeve V Neck Ballerina Dress in Cream Multi. Features an intricately embroidered floral bodice, inspired by a 1930s vintage print. Beautifully designed with delicate lace trimmed fluted sleeves and soft tulle ruffles at the waist and neckline add romantic detail. The layered tulle skirt creates an ethereal, graceful silhouette, making this gown perfect for any special occasion. Kisses tulle decorated

Description & Details

The Rosie Lace Bodice Short Sleeve V-Neck Ballerina Dress in Cream/Multi. Features an intricately embroidered floral bodice, inspired by a 1930s vintage print. Beautifully designed with delicate lace-trimmed fluted sleeves and soft tulle ruffles at the waist and neckline add romantic detail. The layered tulle skirt creates an ethereal, graceful silhouette, making this gown perfect for any special occasion.

- Kisses tulle decorated with floral embroidery

- Bodice is partially lined. Sleeves are un-lined. Skirt is fully lined.

- 100% Recycled Polyester

- 100% Recycled Polyester Lining

- Concealed zip at centre back.

- Made in India.

Responsibly Sourced

- 100% of the tulle fabric used for this design is made from recycled plastic.

- 100% of the lining fabric used for this design is made from recycled plastic.

FAIRLY MADE

Needle & Thread are now proud to partner with Fairly Made® to enhance our supply chain transparency. This partnership will help us to meet our social and environmental goals whilst sharing full visibility of how our products are made. We are excited to share our traceability journey with you very soon.

PACKAGING

At Needle & Thread, we're constantly taking steps to improve our sustainability practices, from product design to packaging. Our eco-conscious box and tissue paper used to package your order are FSC-approved, and are both recyclable.

The stickers used on the tissue paper and on the box can both be recycled.

Fit

- Form fitted through the bodice. Fitted waist with a multi layered skirt

- Due to the intricate nature of the embroidery and fit of this dress, customers should expect a tighter fit.

- Length finishes at the lower calf.

- Please refer to our length guide for measurements of our skirt lengths.

- Model is 178cm / 5ft 10in and is a UK size 10

Care Advice

- We recommend storing your garment flat due to the weight of the garment. This will help to preserve the fit of your garment.

- To freshen between wears spot clean with lukewarm water and cool iron on reverse.

- Due to the delicate nature of the embellishment on this garment please handle with care.

- Delicate dry clean.

Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 32461415227

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4.5 ★★★★★
Based on 1437 reviews
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Product Reviews
N
Nader
New York, 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
Lexington, 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
Lowell, 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
Los Angeles, 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
C
Verified Purchase
CL
Los Angeles, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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