SKU: 30921662557
purple ombre dress

purple ombre dress Lovely Ombre Tulle Short Prom Dress, A-Line Off the Shoulder Party Dress US 8 / Custom Color

Sale price$25.90 Regular price$28.78
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Ships within 48 hours · Estimated delivery Sep 18 - Sep 23

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For Your Every Summer RSVP, with Code: SUMMER15

Description

purple ombre dress Lovely Ombre Tulle Short Prom Dress, A-Line Off the Shoulder Party Dress US 8 / Custom ColorProduct DetailSilhouette: A LineMaterial: Velvet, TulleWaist: NaturalBack Details: Lace UpLength: Knee LengthLining: Fully LinedBuilt In Bra: YesProduct Code: LY1341This dress could be custom made, there are no extra cost to do custom size and color. Custom SizeFor custom order, we need the following information in the order notes when you check out: Shoulder to Shoulder: _____ inch cmBust: _____ inch cmWaist: _____ inch cmHips: _____ inch cmShouldet

Product Detail
Silhouette: A-Line
Material: Velvet, Tulle
Waist: Natural
Back Details: Lace-Up
Length: Knee Length
Lining: Fully Lined
Built-In Bra: Yes
Product Code: LY1341
This dress could be custom made, there are no extra cost to do custom size and color.

Custom Size
For custom order, we need the following information in the order notes when you check out:
Shoulder to Shoulder: _____ inch/cm
Bust: _____ inch/cm
Waist: _____ inch/cm
Hips: _____ inch/cm
Shouldet to Knee: _____ inch/cm
Height: _____ inch/cm

    Custom Color
    Besides the picture color, you can refer to our Color Card to choose any color you want. when ordering, you can find a message box in the shopping cart, leave your custom color, we can see this information, you can also contact us, we will assist you to choose correct fabric and most accurate color tone.

      More Information
      FAQ and Refund Policy
      How To Measure and Rush Order
      Any questions about the item, please feel free to contact us via our email [email protected]

      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: 30921662557

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      4.6 ★★★★★
      Based on 28 reviews
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      Karen H.
      Lexington, US
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      Reviewed in the United States on February 27, 2024
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      Paul Pollock
      Lowell, 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
      Massapequa, US
      ★★★★★ 5
      Great Resource when Integrating AI
      Format: Kindle
      This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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      Reviewed in the United States on August 26, 2025
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      Om S
      Charlottesville, US
      ★★★★★ 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
      Phoenix, US
      ★★★★★ 5
      a comprehensive guide at the intersection of generative AI and cybersecurity
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      This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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      Reviewed in the United States on July 2, 2025

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