vintage valentino white dress 2011 Valentino White Dress with Ruffle Detail and Embellished Strap – CIRCA VINTAGE
SKU: 10816521144
vintage valentino white dress

vintage valentino white dress 2011 Valentino White Dress with Ruffle Detail and Embellished Strap – CIRCA VINTAGE

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Size: 4
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Description

vintage valentino white dress 2011 Valentino White Dress with Ruffle Detail and Embellished Strap – CIRCA VINTAGEWe believe this gown was made as part of Valentinos Resort 2011 collection or a bridal collection from the same year. We have attached an image of Look 29 32 which has the same ruffle details and strap embellishment. During this period, Maria Grazia Chiuri and Pierpaolo Piccioli were co creative directors of the house, forming a wildly successful partnership with their elegant take on femininity with a hint of rock and roll edge. This romantic dress

We believe this gown was made as part of Valentino’s Resort 2011 collection or a bridal collection from the same year. We have attached an image of Look 29/32 which has the same ruffle details and strap embellishment. During this period, Maria Grazia Chiuri and Pierpaolo Piccioli were co-creative directors of the house, forming a wildly successful partnership with their elegant take on femininity with a hint of rock and roll edge.

This romantic dress is tailored from pale cream silky fabric and falls in a column silhouette to the floor. It has two straps made from clashing yet complimentary fabrics. One strap is crafted from cream chiffon and forms a theatrical ruffle that sweeps over the shoulder, across the bust and cascades down the side of the dress. The other strap is heavily beaded; layered white mesh is adorned with pretty flowers formed of pearlescent petal-shaped beads around a central rhinestone. Inside the dress is a nude corset. Boned the whole way around the body, it has a modesty strap and unwiring at the bust. The dress fastens under the right arm with a hidden tonal zip and is fully lined with cream satin. It would make a stunning and highly memorable wedding dress.

This dress is in excellent condition, we noted some incredibly light markings toward the very bottom hem where it has grazed the floor, these would never be seen when worn. The tags are attached and it looks like it might never have been worn. There is no size or composition label, so please check the measurements below closely. The fabric has just a little stretch. We believe this would best fit a statuesque UK size 10-12 or US 6-8.

MEASUREMENTS

BUST - 32 in. (81 cm)

WAIST - 30 in. (76 cm)

HIP - 40 in. (102 cm)

LENGTH - 66 in. (168 cm)

TRAIN LENGTH - 70 in. (178 cm)

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SKU: 10816521144

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4.5 ★★★★★
Based on 101 reviews
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N
Nader
Whiting, 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
Fort Morgan, 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
Belleville, 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
Dallas, 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
Carnegie, 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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