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Description
Ruby Red (on Green) 12"X12" Open Edition PrintGive love. Give kindness. Give art. Crypto Love Drops is a 160 piece, handmade modern art collection that is made with love and designed to be gifted. Each art piece reminds us to lead with love and compassion, because everyone is going through something. It represents our values of love, kindness, and generosity. You are a giver. You lead with your heart. You believe that the greatest gift you can give someone is your heart. You believe in the power
Give love. Give kindness. Give art. Crypto Love Drops is a 160-piece, handmade modern art collection that is made with love and designed to be gifted. Each art piece reminds us to lead with love and compassion, because everyone is going through something. It represents our values of love, kindness, and generosity.You are a giver. You lead with your heart. You believe that the greatest gift you can give someone is your heart. You believe in the power that love has to transform lives. You strive to move the world toward greater unity through kindness. Gifting a Crypto Love Drop to yourself represents your commitment to lead with love and compassion in your daily life. Gifting a Crypto Love Drop to someone special in your life represents your commitment to love and support that person. It will remind them how much you love them, each time they see it on their wall.
Each heart features two different designs that come together, representing the ability of two different people to come together to create a whole, in union. Each heart also represents a precious gemstone, because love is precious.
Learn more about the Crypto Love Drops collection at www.cryptolovedrops.com
QUALITY
Printed to gallery standards on high-quality archival, acid-free, heavy weight paper to preserve longevity. Paper has smooth matte finish.
COLOR
Each Crypto Love Drop background color has significance. Choose the color that best represents your values.
BLACK / luxury, mystery, intrigue, strength
PURPLE / kindness, compassion, free spirit, confidence
BLUE /dependability, empathy, tranquility, trust
GREEN / safety, growth, health, encouragement, generosity
RED / strength, energy, passion, leadership, courage, romance, love, friendship
WHITE / purity, endurance, strength, authenticity
ORANGE / warmth, joy, creativity, encouragement, fun, optimism
GOLD / wealth, prestige, influence, prosperity, compassion
SILVER / affluence, illumination, healing, futuristic
YEAR
Copyright © 2022 Ana Luca. All rights reserved.
SIZE
12" X 12"
MEDIUM
Ink on museum-grade, premium archival matte paper. Artwork is printed using giclée printing technique, applying a superior inkjet process onto paper.
FRAMING
Art comes unframed.
CARE
For maximum longevity, do not display artwork in direct sunlight as this may cause fading over time.
SHIPPING
Fine art print arrives rolled in a mailing tube for safety. Made-to-order in the USA. Shipping available to US and Canada addresses only. Please allow 6-10 business days for our studio to print the artwork and 2-7 additional business days for standard shipping. We are not responsible for carrier delays. You will receive an order tracking number via email once your order has shipped.
RETURNS
We are unable to offer order cancellations, refunds, or exchanges of artwork. Art sales are final. In the unlikely event that an art print arrives damaged, please see our Return Policy for replacement instructions.
Shipping Notes
- 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]
- Please click here for more details>>> Return & Exchange Policy
4.7 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 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
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
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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
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025