elegant flower girl dresses Satin flower girl dress Elegant girl dress Flower girl dress with pear – Colibri Fashion Studio
SKU: 8004931953
elegant flower girl dresses

elegant flower girl dresses Satin flower girl dress Elegant girl dress Flower girl dress with pear – Colibri Fashion Studio

$25.31 $28.12
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No.2 Bestseller on www.mediatameen.com >
Size: 4
Size Recommendation How To Measure

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Ships within 48 hours · Estimated delivery Jun 30 - Jul 5

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Description

elegant flower girl dresses Satin flower girl dress Elegant girl dress Flower girl dress with pear – Colibri Fashion Studio10% SALE FOR THE FIRST ORDER This dress is perfect for birthday, wedding, first communion, baptism, dancing and family photos. Color: Ivory Black White Dusty rose Red Beige Depending on the supply of fabrics, shades of the same color may differ slightly. If you order a dress for the same event together with another of my customers, write about it in the comments to the order. I will use the same shade of fabric. Please check the measurements before

10% SALE FOR THE FIRST ORDER

This dress is perfect for birthday, wedding, first communion, baptism, dancing and family photos.

Color:

Ivory
Black
White
Dusty rose
Red
Beige


Depending on the supply of fabrics, shades of the same color may differ slightly. If you order a dress for the same event together with another of my customers, write about it in the comments to the order. I will use the same shade of fabric.

Please check the measurements before placing your order.

MEASUREMENT
Size 1
Height 86cm / 33.8inch
Chest 52cm / 20.5inch
Waist 50cm / 19.6inch

Size 2
Height 92cm / 36.2inch
Chest 54cm / 21.3inch
Waist 51cm / 20inch

Size 3
Height 98cm / 38.5inch
Chest 55cm / 21.7inch
Waist 52cm / 20.5inch

Size 4
Height 104 cm / 41 inches
Chest 57cm / 22.4inch
Waist 54cm / 21.2inch

Size 5
Height 110cm / 43.3inch
Chest 60cm / 23.6inch
Waist 56cm / 21.6inch

Size 6
Height 116cm / 45.6inch
Chest 61cm / 24inch
Waist 58cm / 22.8inch

Size 7
Height 122 cm / 48 inches
Chest 63cm / 24.8inch
Waist 60cm / 23.6inch

Size 8
Height 128cm / 50.4inch
Chest 65cm / 25.6inch
Waist 60cm / 23.6inch

Size 9
Height 134cm / 52.7inch
Chest 67cm / 26.3inch
Waist 62cm / 24.4inch

Size 10
Height 140cm / 55.1inch
Chest 69cm / 27.1inch
Waist 63cm / 24.8inch

Size 11
Height 146cm / 57.5inch
Chest 72cm / 28.3inch
Waist 65cm / 25.6inch

Size 12
Height 152 cm / 60 inches
Chest 75cm / 29.5inch
Waist 67cm / 26.3inch

Please choose the size according to our size chart which is posted in each listing. We can also make a custom size for you. Just choose the size close to your individual measurements and leave them in the notes at checkout please. The buyer is responsible for the measurements and we don't refund/exchange the item if it's made to incorrect measurements. The same is applied to custom order items.

Custom measurements
Please keep in mind that the customer is solely responsible for the measurements that he leaves in the comments to the order. If your event after a while, calculate how your girl can grow up by this time. And write down the measurements considering that the girl will grow up. I do not add to the growth and sew the dress exactly according to the measurements that you wrote in the comments to the order.

Custom size and custom size +
If your girl's measurements are between sizes and you want me to make your order according to individual measurements, please select the "custom size" option.
If your girl's measurements are over 60 inches, chest 32 inches and waist 30 inches please select the "custom size +" option.

Please note that each item is unique and handmade to order. The finished product may slightly differ from the image in the shade of fabrics. Contact me if the shade of the fabric matters to you and the dresses are ordered for one event.

We recommend that you steam the dress on arrival.

Orders placed with free shipping usually arrive within 3-5 weeks. If you want it to be delivered earlier, please select the type of express delivery that suits you when placing your order.

If you have any questions, do not hesitate to contact me!

Import duties, taxes and charges are not included in the item price or shipping charges.
These charges are the buyer's responsibility.
Please check with your country's customs office to determine what these additional costs will be prior to bidding / buying.
These charges are normally collected by the delivering freight (shipping) company or when you pick the item up - do not confuse them for additional shipping charges.

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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: 8004931953

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4.6 ★★★★★
Based on 718 reviews
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Product Reviews
N
Nader
Houston, 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
Belleville, 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
Lexington, 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
Louisville, 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
Natrona Heights, 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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