SKU: 50817151067

Hygrophila Pinnatifida

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Description

Hygrophila PinnatifidaHygrophila pinnatifida originates from India. It has brown, patched leaves on the surface with a distinctive burgundy color underneath. It grows horizontally if the top shoots are pinched off to maintain compact and attractive growth horizontal side shoots attach easily to both wood and rocks. Growth is moderate, stems 15 40 cm tall and 10 20 cm wide in size with an attractive appearance when planted in small groups against a plain background under

Hygrophila pinnatifida originates from India. It has brown, patched leaves on the surface with a distinctive burgundy color underneath. It grows horizontally if the top shoots are pinched off to maintain compact and attractive growth - horizontal side shoots attach easily to both wood and rocks. Growth is moderate, stems 15-40 cm tall and 10-20 cm wide in size with an attractive appearance when planted in small groups against a plain background under intense lighting conditions for slow or medium growing plants due their susceptibility to high light levels which always leads them towards denser growth because of their slower or intermediate populations rates overall as well as spreading out more quickly than taller plants do hence making it ideal for smaller spaces where height can be limited without sacrificing density.

NOTE: 5 stems 10cm each on each one

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SKU: 50817151067

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Jason Bolton
Birmingham, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
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Verified Purchase
James Gianoglio
Belleville, 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.
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Reviewed in the United States on June 25, 2024
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Matt B
Grantham, 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.
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Reviewed in the United States on June 25, 2024
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SR
Phoenix, 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.
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Reviewed in the United States on August 7, 2024
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K. Wain
Port Orchard, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026

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