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Description
OUTON 63" Dimmable Tripod Floor Lamp Wood with Shelf Remote ControlOUTON Solid Wood Tripod Floor Lamp a perfect blend of modern and medieval design! This modern standing lamp features a high quality linen lampshade that is thick and durable, ensuring it won't easily deform and has a texture that adds to its overall aesthetic. The lampshade is 16 inches in diameter and comes in a beautiful beige color. It also comes with a round shelf that can be used to display decorative items. The self floor lamp has LED light
OUTON Solid Wood Tripod Floor Lamp - a perfect blend of modern and medieval design! This modern standing lamp features a high-quality linen lampshade that is thick and durable, ensuring it won't easily deform and has a texture that adds to its overall aesthetic. The lampshade is 16 inches in diameter and comes in a beautiful beige color. It also comes with a round shelf that can be used to display decorative items. The self floor lamp has LED light bulbs that have a lifespan of up to 50,000 hours and are available in four color temperatures (3000k/4000k/5000k/6000k), saving you up to 90% on your electricity bill. The corner lamp with shelves has a foot pedal switch and a remote control for easy operation, and it can be dimmed infinitely. With a memory function and a 1-hour timer. Compatible with smart plugs, the lamp has a height of 63 inches and a stable tripod structure that adds a touch of sophistication to your space, and ensures that it won't tip over easily, which is particularly important if you have pets or children around. Assembly is easy and can be completed within 15 minutes. At OUTON, we are committed to providing 100% customer satisfaction. If you encounter any issues while using this lamp, please feel free to contact us, and we will provide fast and friendly service!
- Different Lights Settings & Memory Function：The wood tripod floor lamp comes with 9W LED bulb. It offers 4 color temperatures at warm, warm white, cool white, and daylight, which can come in handy when you want different light for a late evening, or if you are setting the mood for a dinner or event. The standing lamp has a memory function to remember your last setting when you turn the lamp back on. You don't need to cycle through every color temperature to get to the desired setting.
- Solid Wood & Stable Tripod Design：The modern floor lamp consists of a high-quality Nature Rubber wood tripod and durable beige lampshade. The tall floor lamp can fit into a variety of decor and adds both style and function to a mid-century or modern décor. It's heavy and sturdy to keep the pets from knocking it over.
- Floor Lamp with Shelves：The shelf floor lamp features one sturdy wood round shelf, which perfect platform for showing off framed photos, figurines, or rows of your favorite books. Whether you're going to put it in your bedroom, living room, foyer, or recreation room, it promises to serve you well.
- Remote Control & Foot Switch：The floor lamp with shelves adopts a combination remote control & foot switch, which is convenient for you to turn on/off the light. You can also use the remote control to adjust the brightness and color temperature without leaving the bed or sofa (with a 50ft range). In addition, you can set a 1-hour timer mode to avoid the trouble of forgetting to turn off the light.
- Easy to Assemble & 2 Years Warranty：The LED standing lamp is assembled step-by-step, not tools required. You can get our mid-century floor lamp assembly done within 15 minutes. We are sincerely devoted to providing our customers with 100% satisfaction with our products and services, if you have any problems when using this lamp, please feel free to contact us. Quick and friendly service will be provided!
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4.3 ★★★★★
Based on 1887 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