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Description
Hakol Solar Lantern Watering Can SetSolar Watering Can, Shining Water Comes From EVERY Hole, Simulating the appearance of a shower sprinkler. There is a thick light string in each sprinkler hole, the 36 lamp beads are evenly distributed. You can simulate the appearance of sprinkling water easily. When it is dark, these lamp beads will light up, beating and flashing, like flowing stars. The built in high brightness LED bulb enlarges the unique pattern and projects it on the ground and
- Solar Watering Can, Shining Water Comes From EVERY Hole, Simulating the appearance of a shower sprinkler. There is a thick light string in each sprinkler hole, the 36 lamp beads are evenly distributed. You can simulate the appearance of sprinkling water easily. When it is dark, these lamp beads will light up, beating and flashing, like flowing stars. The built-in high-brightness LED bulb enlarges the unique pattern and projects it on the ground and surroundings, romantic and sweet.
- Solar Lanterns Outdoor Hanging--0 Electricity Bill, High-power solar version with built-in rechargeable battery. No wiring is required, and it can be charged automatically when there is sunlight. Beautiful and safe, energy-saving and convenient. All you need to do is to place it where the sun can shine directly. And keep the switch in the "on" position.
- Fast Charging And Long Working Hours, With the large-surface solar panels, it can provide fast charging. Thanks to built-in high quality AA NiMH 1.2 V 600MAH battery, the lamp can work 6 to 8 hours when the battery is fully charged with sufficient sunshine for more than 4 hours.
- Metal Material and Fine Workmanship--Waterproof And Durable, The main body of the lamp is made of sufficient premium metal, which is more durable and has a longer service life than other lamps, no worrying about it breaking and hurting children. We also pay enough attention to every detail, the mosaic is very natural. The protection level of the lamp is IP44, it is not afraid of heavy rain, and can withstand almost any weather. But, please do not soak it in water for its long service life.
- Great Gift, 2 Modes to Use, We provide 2 modes to use this hanging light. Hanging or placing independently? It's up to you! You can hang it in your garden with the included shepherd hook and let it water your flowers with flowing stars. You can also put it on its own directly. It will also be a good decoration to stepping stones or patio outdoor. This outdoor lantern can also be a good gift to relatives, friends and colleagues as a garden solar lights decorative.
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4.9 ★★★★★
Based on 1596 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