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Description
green off shoulder prom dress Long Formal Dress cd878 by Ladivine Emerald / 8Off Shoulder Long Formal Dress by LaDivine CD878 is an evening gown that is structured to emphasize on the texture and balanced silhouette. The material is made of glitter mesh which gives a uniform shimmer that reflects the light at all angles. The bodice has a clean cut off shoulder neckline that provides the upper body with a horizontal frame which is held by the inbuilt soft cup inserts that provide a safe and comfortable fit. The design is
Off Shoulder Long Formal Dress by LaDivine CD878 is an evening gown that is structured to emphasize on the texture and balanced silhouette. The material is made of glitter mesh which gives a uniform shimmer that reflects the light at all angles. The bodice has a clean cut off-shoulder neckline that provides the upper body with a horizontal frame which is held by the inbuilt soft cup inserts that provide a safe and comfortable fit.
The design is elaborated in terms of side ruffles that give the skirt a modern, architectural touch in terms of visual interest and movement. A back zipper with discrete stitches makes the gown easy to wear but has a smooth and a tailored look. This dress is a full-length full-lined dress that can be relied upon by wedding guests, formal dinners, and evening parties.
Key Features:
- Glitter Mesh Fabric: A textured material that offers a high-shine, reflective finish across the entire gown.
- Structured Off-Shoulder Neckline: Highlighting the shoulders and collarbone, this neckline provides a modern and open upper-body profile.
- Side Ruffle Detail: Adds a sharp, tiered texture to the side of the skirt, creating a distinct and structured look.
- Built-in Soft Cup Inserts: Provide internal support and ensure the bodice maintains its shape throughout the event.
- Functional Back Zipper: Allows for a secure, fitted closure that remains hidden to preserve the gown's clean lines.
Available Colors:
Black, Champagne, Emerald, Paris Blue, Rose
Perfect for Special Occasions!
A solid selection for wedding guests, formal dinner parties, and church events where a structured, shimmering look is desired.
Details:
- Silhouette & Fit: Fitted Bodice with Ruffled Skirt
- Length: Full Length
- Fabric: Glitter Mesh
- Sleeve Style: Off Shoulder
- Structure: Fully Lined with Soft Cup Inserts
- Sizes: 6, 8, 10, 12, 14, 16 (Available in Plus Size)
- Designer: LaDivine
- Style: CD878
- Occasion: Formal, Evening Party, Church, Wedding Guest, Dinner Party
Maintenance & Care:
- Professional Cleaning: Seek dry cleaning only to protect the glitter mesh texture and the structure of the side ruffles.
- Proper Hanging: Use the internal hanging loops to support the gown's weight; do not hang by the off-shoulder sleeves to prevent stretching.
- Gentle Refreshing: If needed, use a low-heat steamer on the reverse side; avoid direct contact with high heat to protect the glitter finish.
- Safe Storage: Keep in a breathable garment bag to prevent the glitter mesh from snagging on other items and to keep the ruffles crisp.
Shipping Information:
- Most orders are prepared and dispatched within 2–3 business days.
- Delivery typically takes between 2 and 7 business days, depending on your location.
- A tracking number will be sent to you as soon as your package leaves the warehouse.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.2 ★★★★★
Based on 26 reviews
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Product Reviews
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on August 10, 2025
★★★★★ 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
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