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Description
red maxi dress with long sleeves Veyra Maxi Dress in RedDETAILS Deep red off the shoulder long sleeve maxi dress True knit fabrication Ruched foldover panel at neckline Off shoulder position cinches into bow shape at centre back Backless design with low rise skirt featuring ruching at center back backside Bodycon silhouette with mermaid shape hem Designed to come in at the knee and flare out at the hem Due to sheer nature, neutral coloured underwear is recommended SIZE & FIT True to size. We recommend
DETAILS
- Deep red off the shoulder long sleeve maxi dress
- True knit fabrication
- Ruched foldover panel at neckline
- Off shoulder position cinches into bow shape at centre back
- Backless design with low rise skirt featuring ruching at center back backside
-
Bodycon silhouette with mermaid shape hem
- Designed to come in at the knee and flare out at the hem
- Due to sheer nature, neutral coloured underwear is recommended
SIZE & FIT
- True to size. We recommend wearing your standard size
- Bodycon fit - Designed to hug the body
- Maxi length - Style sits approximately at or just below ankle point
- Center back skirt length: XXS: 93CM, XS: 93.5CM, S: 94CM, M: 95CM, L: 96CM, XL: 97CM
- Ella (Model 1): Size XS, Height: 170/5'7", Bust: 32F
FABRIC
- 100% Viscose
- This fabric is extremely stretchy for a snug fit
- Fully fashioned knit fabrication
- This style is semi sheer due to the nature of the fabric
CARE INSTRUCTIONS
- Due to the delicate nature of this garment, please handle with extra care. Avoid catching on jewellery and rough surfaces
- Please fold this garment to store. Do not hang
- Wash and dry garment inside out
- Cold hand wash
- Dry flat in shade
- Cool iron on reverse
- Do not bleach
- Do not tumble dry
- Do not dry clean
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- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
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4.9 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
★★★★★ 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
★★★★★ 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.
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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
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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
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Reviewed in the United States on June 9, 2025