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Description
new plant fertilizer Arber Organic Plant Food (Your New Favorite Fertilizer)Not your ordinary plant food. Fuel your gardens growth and ensure a healthy diet with this nutritious, protein infused booster that will help your plants live their best lives. Made from recycled supermarket food waste, this nourishing supplement supports your overall soil fertility for greener, thicker leaves, more blooms, and deeper roots. Nutritional supplement for indoor gardening and houseplants Improves your plants uptake of essential nutrients,
Not your ordinary plant food. Fuel your garden’s growth and ensure a healthy diet with this nutritious, protein-infused booster that will help your plants live their best lives. Made from recycled supermarket food waste, this nourishing supplement supports your overall soil fertility for greener, thicker leaves, more blooms, and deeper roots.- Nutritional supplement for indoor gardening and houseplants
- Improves your plant’s uptake of essential nutrients, strengthening from root to shoot
- Supports soil fertility with biological compounds made from recycled supermarket food waste
- Infused with rosemary oil for aromatherapy and antioxidant benefits
How To Use Arber Plant Food:
For the lushest, greenest results, use on all indoor plants during your regular watering cycle
- Mix: 2 oz Arber concentrate with 32 oz water or 8 oz concentrate with 1 Gallon of water
- Apply directly to your soil. One application every 10-14 days.
Arber Plant Food Ingredients:
To make our proprietary plant food, we rescue produce from the supermarket that was originally destined for the landfill. We apply an enzyme that rapidly digests the food waste, resulting in complex forms of nutrients including carbohydrates, amino acids (proteins), organic acids, and fats. This nutrient-dense liquid compost becomes an ideal form of energy for plants and soil organisms that help them thrive. *Not for sale in: CA, WA
Active Ingredients:
- Total Nitrogen (N): 3%
- Available Phosphate (P205): 2%
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- Free Standard Shipping on $100+ Orders to the USA.
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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]
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4.4 ★★★★★
Based on 27 reviews
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Product Reviews
★★★★★ 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!
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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.
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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