dracaena fragrans plant Dracaena Mass Cane Corn Plant Massangeana, 3 Stems Staggered
SKU: 58893409606
dracaena fragrans plant

dracaena fragrans plant Dracaena Mass Cane Corn Plant Massangeana, 3 Stems Staggered

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dracaena fragrans plant Dracaena Mass Cane Corn Plant Massangeana, 3 Stems StaggeredDracaena Mass Cane Corn Plant, low Maintenance , Drought Tolerant, Easy to Care for. Introducing the mass cane corn plant! This beautiful house plant is perfect for any home, and makes a great addition to any room. The mass cane is known for its big, bold leaves, and its ability to thrive in almost any environment. It's a hardy plant that is easy to care for, and will add a touch of elegance to any space. Product Details Free Shipping on Select

Dracaena Mass Cane Corn Plant, low Maintenance , Drought Tolerant, Easy to Care for.

Introducing the mass cane corn plant! This beautiful house plant is perfect for any home, and makes a great addition to any room. The mass cane is known for its big, bold leaves, and its ability to thrive in almost any environment. It's a hardy plant that is easy to care for, and will add a touch of elegance to any space.

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Free Shipping on Select orders, 100% satisfaction Guarantee. Most orders ship within 1-3 days from the day order is received, once your order is shipped, you'll receive an email with tracking information. 

Description
Dracaena fragrans Massangeana, also known as Mass Cane or corn plant, one of the easiest plants to care for, great for indoor, apartment or office, features eye-catching Bonsai like form, its unique shape stands out when placed indoors. This durable Mas Cane can be grown as a houseplant since it has the ability to easily adapt to shade or bright Light and makes for an excellent patio or indoor plant, is known for its versatility, compact size and slow growth, if you travel often or spend time away from home this is a great plant, is drought tolerant and can thrive on neglect. Many topicals are known to filter indoor air by absorbing toxins and removing harmful chemicals. Beautify your patio or deck areas with this new addition.

The mass cane is native to the tropical regions of Africa, and is a member of the palm family. It's a fast-growing plant that can reach up to six feet tall, and its leaves can grow up to two feet long. The mass cane is an evergreen, meaning it will stay green all year round. And its beautiful leaves are not only lovely to look at, but they also help to purify the air in your home.

So if you're looking for a stunning house plant that is easy to care for, then the mass cane is the perfect choice for you. Order your own mass cane house plant today!

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SKU: 58893409606

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4.6 ★★★★★
Based on 642 reviews
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S
Verified Purchase
Scott J. Pearson
Natrona Heights, 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
Lowell, 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
Dallas, 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
Houston, 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
Charlottesville, 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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