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Rubbermaid Commercial Products Self-Dumping Hopper, 1/2 Cubic Yard, Polyethylene, BlackRubbermaid Commercial Products Self Dumping Hopper, 1 2 Cubic Yard, Polyethylene, Black Approx. 750 lb. capacity with pull release safety latch and 4 casters Move and dump bulk material safely and efficiently with a durable, forklift capable hopper built for commercial use. 1 2 cu. yd. capacity holds approximately 750 lb. of material. Forklift capable design supports efficient bulk handling and dumping. Pull release safety latch helps secure the
Rubbermaid Commercial Products Self-Dumping Hopper, 1/2 Cubic Yard, Polyethylene, Black
Approx. 750 lb. capacity with pull-release safety latch and 4 casters
Move and dump bulk material safely and efficiently with a durable, forklift-capable hopper built for commercial use.
- 1/2 cu. yd. capacity holds approximately 750 lb. of material.
- Forklift-capable design supports efficient bulk handling and dumping.
- Pull-release safety latch helps secure the hopper during transport and release it when ready to dump.
- Molded polyethylene construction offers durable, corrosion-resistant performance.
- Includes (4) 6" polyolefin casters for mobility.
- Made in the USA and shipped individually.
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4.1 ★★★★★
Based on 1347 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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