SKU: 67205123451
tassel mini dress

tassel mini dress Salma Beaded Fringe Mini Dress

$24.33 $27.03
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Ships within 48 hours · Estimated delivery Oct 18 - Oct 23

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Description

tassel mini dress Salma Beaded Fringe Mini DressMADE TO ORDER ITEM Handmade to perfection, the SALMA mini dress is the latest Limited Edition piece by Noodz Boutique. Hundreds of crystal beaded strings are individually placed on mesh material to create this eye catching beaded fringing masterpiece. Perfect for the bride to be celebration such as hens night and engagement party as well as birthday party when you want to look extra glam and special. PLEASE NOTE: our SALMA fringe dress is meticulously

MADE TO ORDER ITEM

Handmade to perfection, the SALMA mini dress is the latest Limited Edition piece by Noodz Boutique. Hundreds of crystal beaded strings are individually placed on mesh material to create this eye catching beaded fringing masterpiece. Perfect for the bride to be celebration such as hens night and engagement party as well as birthday party when you want to look extra glam and special.
 
PLEASE NOTE: our SALMA fringe dress is meticulously handmade one piece at a time. Based on this, there may be a slight variation from one dress to the next. Such variations are inherent in the handmade process which makes your dress truly special and one of a kind.

  • NOTE: this is a made-to-order item, please allow 4-6 weeks for production and delivery
  • Ethically handmade in India
  • Hand embellished beads
  • Fringe hem
  • V Neck with trimming detail
  • Non adjustable shoulder straps
  • Hidden back zip
  • Fully lined
  • Fabrication: 100% polyester with stretch knit lining
  • Length: 80cm from shoulder to hem (if you'd prefer a longer length, please let us know in the "Special Instructions" box at the checkout - wait time is 2-4 weeks)
  • Garment care: hand wash with mild detergent in room temperature water. Special care needs to be taken when wearing this dress due to the delicate materials.

    Model Info:

    Leah wears a size XS sample, 75cm in length (our current versions are 80cm and 90cm)
    Height: 5’6/170cm without heels
    Bust: 32"/81cm
    Waist: 24"/62cm
    Hips: 35"/90cm

    Ashleigh wears a size XS sample, 75cm in length (our current versions are 80cm and 90cm)
    Height: 5’5/166cm without heels
    Bust: 35”/90cm
    Waist: 24”/61cm 
    Hips: 37”/93cm

      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: 67205123451

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      4.1 ★★★★★
      Based on 10 reviews
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      Product Reviews
      N
      Nader
      Lake Worth, 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
      Chelsea, 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
      Phoenix, 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
      Grantham, 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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