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Your favorite cold brew is now easy to make at home with Starbucks Cold Brew Multi-Serve Concentrates. This rich concentrate is cold-steeped from a custom blend of lightly roasted coffee and is known for its light body with subtly sweet brown sugar and baked cinnamon notes. Starbucks Cold Brew Coffee Concentrate Sweetened Brown Sugar Cinnamon is perfect for those who love a cold iced coffee beverage. Just mix this rich concentrate with water and ice for a taste that’s smooth, delicious and perfectly yours. This multi-serve concentrate bottle makes 64 fluid ounces of cold brew coffee when prepared as directed and features fully recyclable packaging. Inspired by the cold brews served at Starbucks cafés, this easy-to-craft at-home option delivers the signature Starbucks flavor expected from every cup. Nestlé uses Starbucks trademarks under license. © 2025 Starbucks Coffee Company.
Starbucks Cold Brew Coffee Concentrate, Sweetened Brown Sugar Cinnamon Flavored Iced Coffee, 32 fl oz
Starbucks Cold Brew Coffee Concentrate, Sweetened Brown Sugar Cinnamon Flavored Iced Coffee, 32 fl oz
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4.9 ★★★★★
Based on 1822 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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