Pay in installments of $15.20 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Oct 31 - Nov 5
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Modern Living Room Bedroom Floor Lamp with LED Bulb, Modern Vertical Lamp Drum Lampshade, 63 Feet High with Footswitch Black Lamp Post, Minimalist Design Vertical Lamp for Home Office ReadingAbout This Tall Floor Lamp & Space SavingFeatured with a 65in 1. 65m ideal height, our tall stand up grey floor lamp is able to illuminating larger area for your space whether at home or office. The minimalist slim pole makes our grey bedroom floor lamp an amazing space saver and you can place it freely at any corners such as by the sofa, beside your nightstands, next to a working desk A practical and versatile lighting solution for small rooms
About This
- 【Tall Floor Lamp & Space-Saving】Featured with a 65in/1.65m ideal height, our tall stand up grey floor lamp is able to illuminating larger area for your space whether at home or office. The minimalist slim pole makes our grey bedroom floor lamp an amazing space-saver and you can place it freely at any corners such as by the sofa, beside your nightstands, next to a working desk... A practical and versatile lighting solution for small rooms without taking up too much visual space.
- 【Stylish Design Suitable for Any Place】MECTISASU modern 65'' tall lamp for living room equipped with premium grey cylindrical lampshades and sturdy black metal poles, an unique and elegant design perfect for anywhere. The elegant drum linen shade can effectively block part of the lighting source, especially eye-caring for reading working in your bedroom. Simple and classic design makes this grey floor lamp perfect for anywhere in your home or office.
- 【E26 Bulb Included】Each grey bedroom standing lamp includes a 10W 3000k/4000k/5000k A19 LED light bulb. You can choose your ideal lighting effect by a easy-operated foot switch. Compared to traditional incandescent bulbs, our included E26 LED bulb consumes 90%+ less electricity but provide higher lighting capacity. so you don't need to replace bulbs frequently and help to save your labor cost.
- 【Heavy-weighted Metal Base&Simple Installation】Equipped with column structure and 9.8in wide reinforced base with 8.3lb balancing weight, this minimalist floor lamp for living room is not easy to be knocked over by pets or children. In addition, the installation comes rather simple, no tools needed, just follow the instructions to screw all the parts of the lamp pole together. Just in few minutes, you’ll get a stylish bedroom standing floor lamp which brings you a huge sense of accomplishment.
- 【Easy-control Foot Switch For Anyone】Compared to traditional pull switches, our industrial floor lamp with grey shade featured a simple foot pedal that allow you to easily operate this 3-color temperatures LED floor lamp without bending over. The charging cord featured 79in/2m super long, hence no matter which corner the tall lamp settled, you can control the on/off switch by simply stepping on it with your foot. It is suitable for all ages to use, easy reach for your lovely girls and boys.
Overview
- Base Material : Metal
- Bulb Base : E26
- Product Dimensions : 12"D x 12"W x 63"H
- Item Weight : 7 Pounds
- Lamp Type : LED
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
4.1 ★★★★★
Based on 11 reviews
Sort
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025