mint lace dress VINTAGE 1960S FANCY MINT GREEN LACE DRESS WITH CUMMERBUND IN SEA FOA –  Vintage Clothing & Fashions
SKU: 28541572702
mint lace dress

mint lace dress VINTAGE 1960S FANCY MINT GREEN LACE DRESS WITH CUMMERBUND IN SEA FOA – Vintage Clothing & Fashions

Sale price$20.53 Regular price$22.81
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Size: 4

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Description

mint lace dress VINTAGE 1960S FANCY MINT GREEN LACE DRESS WITH CUMMERBUND IN SEA FOA – Vintage Clothing & FashionsA beautiful vintage '60s lace cocktail party dress in a shade called Sea Foam. The mint green color was very hard to capture in the photos and the shade is much prettier than shown. Intricate crisp floral lace covers the entire dress with a pleated cummerbund and a V back. There is a taffeta lining lining the entire dress. Tiny shoulder pads for shaping which could be removed. 7 self covered buttons and loops in back with a zipper underneath. Lovely

A beautiful vintage '60s lace cocktail party dress in a shade called Sea Foam.

The mint green color was very hard to capture in the photos and the shade is much prettier than shown.  Intricate crisp floral lace covers the entire dress with a pleated cummerbund and a V back.  There is a taffeta lining lining the entire dress.  Tiny shoulder pads for shaping which could be removed.  7 self-covered buttons and loops in back with a zipper underneath.  Lovely scalloped lace at the ends of the sleeves and the hem. 

The perfect feminine vintage mint green dress for a cocktails, a guest at a wedding, a cruise or an evening out.

 By: Tag removed

Size: No tag so go by the measurements for a good fit.

Approximate Measurements – This means the measurements of the item listed – not of your own figure.  You must be a few inches smaller than the measurements shown.

Bust:  34 so leave some room for movement

Shoulder to shoulder in back: Cannot measure because of the way the sleeves were cut

Sleeves from neck:  27 - 28

Waist:  - 28 - 29 but leave room for movement as fabric will not stretch

Length: 42 - 43

Fabric: No tag but lace & what feels like taffeta for the lining

Care: No tag but dry clean

Condition: Very good and looks like it may not have been worn.  One of the loops for the buttons in back needs a few stitches to secure one end as it has come undone.  Easy fix.

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All photos & text are copyrighted with the library of congress & the sole property of Midnight Glamour & cannot be duplicated or copied in any manner & you will be prosecuted if used
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Care Instructions

We examine each item carefully and note any imperfections, but unless an item is said to be new, please don't expect it to be perfect & even some new items have small imperfections. I will always state in the description if there are any imperfections & I never do repairs but leave them to others who are better able to do them than me as that is not my expertise.

Please remember that unless specified all items have been used and will show varying signs of use or wear. We always list the obvious imperfections to the best of our abilities. However, some slight imperfections that will not show or affect wearing or using the item may slip by or not be considered worth mentioning. Vintage nightgowns & peignoirs may be delicate so I do not wash them in the machine. I wash them in lukewarm water with Woolite or some other mild soap, then rinse & hang dripping wet in the shower. Since these are vintage items, a bit of extra care needs to be taken with them so they remain beautiful & I definitely would never put a vintage nightgown or a peignoir in the dryer as it would ruin it. The items are sold as we find them. We do not dry clean, launder, alter or repair vintage clothing and they should be cleaned or washed upon arrival. Please make your selection carefully & check the measurements as there is no return on clothing or other items.

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SKU: 28541572702

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4.0 ★★★★★
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N
Nader
Lowell, 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
West Palm Beach, 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
Waukegan, 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
New York, 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
Waukegan, 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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