Pay in installments of $7.08 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Sep 7 - Sep 12
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
battery powered plant grow light ladate Solar Plant Grow Light Battery Powered, 96 LED Full Spectrum Ha – The Happy Gardening LifeBrand: ladate Color: Orange Features: Two Charging MethodsThe newly upgraded solar plant light features two charging options: solar charging and USB charging. (The product comes with a USB charging cable; the charger is not included.) This ensures your plants receive ample light even on cloudy days. Solar Powered & 0 Electricity BillThis solar plant grow light automatically lights up at night and turns off during the day when connected to a solar
Brand: ladate
Color: Orange
Features:
- 【Two Charging Methods】The newly upgraded solar plant light features two charging options: solar charging and USB charging. (The product comes with a USB charging cable; the charger is not included.) This ensures your plants receive ample light even on cloudy days.
- 【Solar Powered & 0 Electricity Bill】This solar plant grow light automatically lights up at night and turns off during the day when connected to a solar panel. Solar grow lights for indoor plants can be used as supplemental light for plants to promote growth and there's no need to pay any electricity bill for it! NOTE: manual opening by remote control/button on the bulb for daytime use.
- 【Long-life Span】Our solar pendant grow lights comes with waterproof monocrystalline silicon 10.6in x 7in solar metal panels and large capacity batteries with high photovoltaic conversion efficiency. This battery powered plant grow light can effectively utilize sunlight, shorten the charging time and extend the lighting duration. Note: Charging efficiency depends on sunlight conditions.
- 【Full Spectrum Light】The hemispheric lamp design enables a wider illumination range. It contains 96 LEDs and provides full-spectrum light. Among them, there are 12 blue LEDs (460nm), 20 red LEDs (635nm), 28 far-red light LEDs (730nm), and 36 warm white LEDs (3000K). Improve the growth rate and meet the light energy demand of plants in the whole process of germination, growth, flowering and fruiting.
- 【Remote Control & Time Setting】The solar hanging plant light are easily controlled by a remote and the button on the top of the bulb. You can also set a timer for 3/5/8 hours and adjust 3 different brightness modes (30%, 60%, 100%) via the remote control. Meanwhile, excellent heat dissipation ensures plants don't get overheated when exposed to prolonged light, providing a safe environment for them.
- 【Easy to Install & Versatile Application】The solar grow light has a hook for hanging anywhere. Cord length of 14.7 feet ensures solar panels can be placed outside in the sunlight. Panel with bracket can rotate 180° up & down. For high mounting, just drill holes, place the panel and tighten screws. Ideal for a multitude of spaces including balconies, greenhouses, dark rooms, indoor gardening spaces, windowsills and grow tent.
model number: LDUS-0005-SPGL-Orange
Part Number: LDUS-0005-SPGL-Orange
Package Dimensions: 12.5 x 11.3 x 5.5 inches
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
4.9 ★★★★★
Based on 17 reviews
Sort
Product Reviews
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for.
Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience!
This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects.
Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me.
This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2025
★★★★★ 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.
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