SKU: 8825633210
ivory silk dress

ivory silk dress Stella Dress in Ivory Silk Wool with Silver Fringe

Sale price$24.90 Regular price$27.67
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Ships within 48 hours · Estimated delivery Sep 18 - Sep 23

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Description

ivory silk dress Stella Dress in Ivory Silk Wool with Silver FringeA graduate of the Savannah College of Design, award winning Alexandra Pijuts namesake line arrives from her studio in New York, offering luxe ready to wear pieces that distinguish themselves between femininity and practicality. Incorporating elements of the designer's childhood, like equestrian tailoring and dancewear, the Stella Dress in Ivory Silk Wool with Silver Fringe is designed with the wedding party in mind. We love its slim cut, boasting

A graduate of the Savannah College of Design, award-winning Alexandra Pijut’s namesake line arrives from her studio in New York, offering luxe ready-to-wear pieces that distinguish themselves between femininity and practicality. Incorporating elements of the designer's childhood, like equestrian tailoring and dancewear, the Stella Dress in Ivory Silk Wool with Silver Fringe is designed with the wedding party in mind. We love its slim cut, boasting crystal detailing around the neckline and silver paillettes, fringes, and beads that migrate up from the hem.

Product Details

51% silk, 49% wool. Lining: 100% silk.  Crystal detailing around neckline. Silver sequin beading at hem. Made in the USA.

Care Instructions

Dry-clean only.

Size & Fit

This item fits true to size. 

Shipping Details

This item is made-to-order. Please allow 6-8 weeks for production and 5-7 business days for standard delivery.

Return Policy

This item is final sale and not available for return.

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Exchange/Return Notes
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SKU: 8825633210

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Karen H.
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Reviewed in the United States on February 27, 2024
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Paul Pollock
Phoenix, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for. Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience! This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects. Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me. This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
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Reviewed in the United States on August 7, 2025
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Allen Wyma
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★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
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Om S
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★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025
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Jiewen Wang
Louisville, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
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