sequin evening dress Malisa Sequin Gown
SKU: 23596461250
sequin evening dress

sequin evening dress Malisa Sequin Gown

$26.06 $28.96
Save 10%
No.2 Bestseller on zutphensepracht.nl >
Size: 4
Size Recommendation How To Measure

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Ships within 48 hours · Estimated delivery Jul 7 - Jul 12

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Description

sequin evening dress Malisa Sequin GownThe Made To Order Collection Sparkle like a goddess in this luxurious patterned sequin gown. Silver looks incredible on tan or darker skin tones & this strapless sweetheart gown is totally celeb worthy. Made from stretchy fabric to hug your curves & also has a mermaid train for making an entrance. Malisa is available in more colours, email info@alamourthelabel. com to make an enquiry. What is a Made To Order? This product is a made to order item. Made

The Made-To-Order Collection 

Sparkle like a goddess in this luxurious patterned sequin gown. Silver looks incredible on tan or darker skin tones & this strapless sweetheart gown is totally celeb worthy. Made from stretchy fabric to hug your curves & also has a mermaid train for making an entrance.

Malisa is available in more colours, email [email protected] to make an enquiry.

What is a Made-To-Order?

This product is a made-to-order item. Made-to-order items are not held in physical stock and production commences AFTER order placement. We try to limit production and stock levels and as such, made-to-order items produce less waste and allow you to purchase your dream gown without the chance of it selling out. We suggest that you order well in advance for special occasions such as formal or weddings and take note of the estimated delivery date when placing your order. 

Production Policy
Once production has commenced on your item and you wish to cancel, a production fee of 50% is deducted from your total order. 
There may be a delay during busy periods from March - June and from Sep - Oct. We are unable to estimate the delay period however it could take up to 3 months to make your dress. With made-to-order items being in high demand during those months, we suggest ordering in advance allowing 4 months for your dress to be made and delivered. 
Please note: Priority processing does not rush your order in production or during transit. This will only rush your order through our quality control inspection and prepare for dispatch process.

Want to Customise this Gown?

You can customise this gown to suit your personal style. Customisations include changing the neckline, changing the back, customising the gown to a different colour, adding additional length to the train and more. Please email customer care here.

About our Model

Sizing

Please refer to our Size Guide below:

Unsure about your size? E-mail customer care here with your bust, waist, and hips and we will be able to suggest a suitable size for you. 

Fabric Content

Stretchy sequin fabric, size down for a fitted look, no cups, fitted silhouette, zip back.

Care

Do Not Iron
Do Not Bleach
Do Not Hand Wash 
Gentle DRY CLEAN ONLY

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: 23596461250

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4.6 ★★★★★
Based on 2193 reviews
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Product Reviews
N
Nader
Draper, 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
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
Lexington, 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
Alexandria, 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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