SKU: 3614181165

KLARITY LaserTox CC Miracle White Lotion SPF30 PA++ 30ML with PPPbiotics

$35.10 $39.00
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Description

KLARITY LaserTox CC Miracle White Lotion SPF30 PA++ 30ML with PPPbioticsKLARITY Lasertox CC Miracle White Lotion helps to restore your beauty with at least one tone lighter whitening effect instantaneously. The lotion is enriched with diamond powder, giving you the instant glow after application. Also enriched with wild rose hip extract, which is a source of powerful antioxidant, it helps to prolong skin youthfulness. With SPF30 PA++, Lasertox CC Miracle White Lotion protects your skin from harmful UV rays, preventing

 

KLARITY Lasertox CC Miracle White Lotion helps to restore your beauty with at least one tone lighter whitening effect instantaneously. The lotion is enriched with diamond powder, giving you the instant glow after application. Also enriched with wild rose hip extract, which is a source of powerful antioxidant, it helps to prolong skin youthfulness.

With SPF30 PA++, Lasertox CC Miracle White Lotion protects your skin from harmful UV rays, preventing photo-aging and dark spots. This 11-in-1 multifunctional CC lotion is light on skin and colorant free. The non-sticky and non-oily formula leaves skin smoother and hydrated.

Non comedogenic.

11-in-1 Functions:
· Whitening
· Purify
· Repair
· Firming
· Smooth
· Soothe
· Hydrate
· Tone
· Anti-aging
· Sun-screen
· Water-proof

Useful tips:
1. The first CC cream with no colorant!
2. Waterproof, stay naturally fair no matter rain or shine.
3. Helps to reduce acnes, lightens acne marks, soothes itchiness, and lightens scar marks.

 

How to use:

1. Take adequate amount of lotion and blend evenly over whole face with gentle patting motion.
2. Apply in the same manner for neck and body.
3. Lotion will be absorbed, leaving a supple matte look.

---

KLARITY Lasertox CC Miracle White Lotion 可帮助肌肤恢复美丽，即刻呈现至少一阶亮白效果。其蕴含钻石粉末，涂抹后肌肤即刻焕发光泽。同时，富含野玫瑰果提取物，这一强效抗氧化成分有助于延缓肌肤衰老，使肌肤保持年轻活力。

搭载SPF30 PA++ 防晒保护，可有效抵御紫外线伤害，防止光老化及色斑生成。这款11合1多功能CC霜质地轻盈，不含色素，不粘腻、不油腻，令肌肤更加光滑水润，适合日常使用。

不堵塞毛孔（Non-comedogenic）

11合1功效

  • 美白（Whitening）
  • 净化（Purify）
  • 修复（Repair）
  • 紧致（Firming）
  • 柔滑（Smooth）
  • 舒缓（Soothe）
  • 保湿（Hydrate）
  • 均匀肤色（Tone）
  • 抗衰老（Anti-aging）
  • 防晒（Sun-screen）
  • 防水（Water-proof）

使用小贴士

  • 全球首款无色素CC霜
  • 防水配方，无论晴天雨天，都能保持自然白皙
  • 有助于减少痘痘，淡化痘印，舒缓瘙痒，改善疤痕

使用方法

  1. 取适量CC霜，均匀涂抹于整个面部，并轻拍帮助吸收。
  2. 颈部和身体部位可同样方式涂抹。
  3. 轻盈质地迅速吸收，赋予肌肤自然柔雾感。

 

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 3614181165

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4.1 ★★★★★
Based on 20 reviews
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Product Reviews
O
Om S
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Waukegan, US
★★★★★ 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
N
Nader
Alexandria, 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
Omaha, 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
Boise, 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

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