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Description
Advance Tabco Regaline 2-Compartment Drainboard Sink, 114-1/2 Inch x 36 Inch, 14 Gauge 304 Stainless SteelAdvance Tabco Regaline 2 Compartment Drainboard Sink, 114 1 2 Inch x 36 Inch, 14 Gauge 304 Stainless Steel Left and Right Drainboards, 11 Inch Backsplash, Floor Model Built for heavy duty prep and cleanup, this floor model sink combines two deep compartments with full drainboards on both sides to keep workflows moving. Two 28 inch front to back by 20 inch wide compartments, each 14 inches deep, support washing and rinsing tasks. Left and right 36 inch
Advance Tabco Regaline 2-Compartment Drainboard Sink, 114-1/2 Inch x 36 Inch, 14 Gauge 304 Stainless Steel
Left and Right Drainboards, 11 Inch Backsplash, Floor Model
Built for heavy-duty prep and cleanup, this floor-model sink combines two deep compartments with full drainboards on both sides to keep workflows moving.
- Two 28-inch front-to-back by 20-inch wide compartments, each 14 inches deep, support washing and rinsing tasks.
- Left and right 36-inch drainboards provide extra landing and drying space.
- 11-inch backsplash helps reduce splashes and protect nearby walls.
- 14 gauge 304 stainless steel construction delivers durability for commercial use.
- Stainless steel legs with front and side cross rails and 1-inch adjustable feet help support stability and leveling.
- Overall footprint measures 114-1/2 inches long by 36 inches deep by 45 inches high.
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4.4 ★★★★★
Based on 1340 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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