aglaonema siam wg Aglaonema Siam Red Aurora, Chinese Evergreen
SKU: 77862840586
aglaonema siam wg

aglaonema siam wg Aglaonema Siam Red Aurora, Chinese Evergreen

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Description

aglaonema siam wg Aglaonema Siam Red Aurora, Chinese EvergreenAglaonema Siam Red Aurora, Easy to grow evergreen that shines Aglaonema Siam Red Aurora, also known as Chinese Evergreen, is an easy to grow houseplant with bold, colorful leaves, ideal for tabletops, desks, and shelves. It adds color and texture to any room. For centuries it has been welcomed in all homes across the world as it is known to bring good fortune. This family of plants display a series of vibrant colorful foliage creating shades and

Aglaonema Siam Red Aurora, Easy-to-grow evergreen that shines

Aglaonema Siam Red Aurora, also known as Chinese Evergreen, is an easy-to-grow houseplant with bold, colorful leaves, ideal for tabletops, desks, and shelves. It adds color and texture to any room. For centuries it has been welcomed in all homes across the world as it is known to bring good fortune. This family of plants display a series of vibrant colorful foliage creating shades and blends of colors in each leave, its eye-catching colors make it the perfect choice to add some flair to your home or office space. Indoor house plants are proven to be excellent air purifiers which help decrease stress and anxiety while stimulating creativity and productivity. Great for yourself or as a gift.

Plant Care
• Plants shipped online are in complete darkness for several days, once received allow the plant to acclimate to its new environment.
• Repotting / Fertilizing, once received Wait 4 weeks before repotting or fertilizing, fertilize during Spring to Fall based on label instructions.
• Water, allow the top inch of Soil to dry out to the touch, may take 5-7 days, water slowly to allow the soil to absorb and moist evenly.
• Humidity, most Tropical plants can benefit from regular moisture, a humidifier or regular misting is recommended.
• Light, can grow in medium to bright light indoors, if outdoors can be placed under shade or in direct sunlight.

Plant Benefits
• Plants can reduce stress and anxiety, spend time close to nature caring for them.
• Easy to care house plant, Great for indoor, apartment or office.
• Add life to a given space, Plants are therapeutic and cheaper than a therapist.

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SKU: 77862840586

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4.6 ★★★★★
Based on 2214 reviews
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S
Verified Purchase
Scott J. Pearson
Bozeman, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Dallas, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Phoenix, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Dallas, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Houston, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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