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Description
BORPHOM Double Bed Frame with Storage Wood Headboard Shelf,LED Lights,4ft6 Heavy Duty Metal Platform Wooden Bed Frame Double Bed with ChargingFeatures Ideal Size and Enough WeightBed frame double bed size: 206. 5 x 136. 5 x 96. 5cm (length x width x height), weight: 28kg. Mattress not included. Storage Headboard with Charging StationPractical 2 Tier Storage Headboard can be easily placed some small items,such as your phone,glasses,decoration etc. The headboard is equipped with a built in charging station, including 1 standard plug outlet & 2 USB ports, allowing you to charge your phone or
Features
- 【Ideal Size and Enough Weight】Bed frame double bed size: 206.5 x 136.5 x 96.5cm (length x width x height), weight: 28kg. Mattress not included.
- 【Storage Headboard with Charging Station】Practical 2-Tier Storage Headboard can be easily placed some small items,such as your phone,glasses,decoration etc.The headboard is equipped with a built-in charging station, including 1 standard plug outlet & 2 USB ports, allowing you to charge your phone or pad easily.
- 【RGB LED Light Bed Frame】This Bed frame is equipped with RGB LED light strips.You can use the control or mobile APP to set the LED color, brightness, mode, etc., to meet the needs of different scenes.Just enjoy a colorful life！
- 【Quality Guarantee】The bed board of FSC-Certified wood.
- 【Sturdy and Stable】New reinforcement design.The newly upgraded structure of this storage bed brings very superior durability and stability.
- 【Easy to Assemble】The assembly instructions are very clear and easy to understand, and each part has a clear label. Everything is included in the package and no additional tools are required. Please follow the instructions for assembly.
Product Description
Product description About Us: ✽Time is the Best Teacher: BOFENG Home Furnishing, founded in 1994, has been deeply involved in the industry for nearly 30 years. We have a mature technology and professional team. We have always been committed to providing consumers with high-quality products and comfortable experience, achieving everyone's quality life, and realizing every promise to customers. ✽Top Professional Home Furnishing Manufacturer: specializing in the production of metal bed frames, clothing racks, towel racks, tables and other series of products, with a complete quality management system, strict control of every detail from production to packaging, until the design of high-quality target products. ✽Worry-free After-sales Service: This product enjoys a one-year warranty service. We have a complete after-sales service system. If you have any questions, please feel free to contact us, we promise to provide you with a satisfactory solution. Features: ✔ The headboard and footboard are made of 1.5" wide high-quality steel pipes. The extremely high strength and safe design ensure durability and stability. It is firm and does not creak, and you can enjoy a sweet sleep. ✔ Metal tube with powder coating,which avoiding rusty in a long period.Besides, Each part of the bed frame is firmly welded and fixed with heavy screws to prevent cracking. ✔ The board is made of durable P2 grade MDF wood, which is strong, waterproof and scratch-resistant. The optimized and upgraded version of the square tube design bed frame and retro board add scenery to your bedroom. ✔ We provide the rubber strip pressed the slats to prevent noise. Plastic foot plugs added to the bottom of the bed feet will never scratch your beloved floor. ✔ We provide the necessary hardware, tools and installation manuals with illustrations to help you install the bed frame. Packaged includes : ■Double Bed Frame■MDF wood ■USB Charging Station■LED Lights■Assembly instructions ■ Screws + Allen key Safety Warning 1. Exceeding the maximum weight recommendation of 28 kilograms may cause damage or injury. 2. Carefully follow assembly instructions to ensure stability and prevent collapse. 3. Be cautious of potential pinch points during assembly and use. 4. Ensure electrical safety when using the charging station with USB ports and standard plug outlets.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
4.6 ★★★★★
Based on 1747 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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