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Unisex organic cotton t-shirtMade from 100% organic ring spun cotton, this unisex t shirt is a total must have. It's high quality, super comfy, and best of alleco friendly. 100% organic ring spun cotton Fabric weight: 5. 3 oz yd (180 g m) Single jersey Medium fit Set in sleeves 1 1 rib at collar Wide double needle topstitch on the sleeves and bottom hems Self fabric neck tape (inside, back of the neck) Blank product sourced from China or Bangladesh The sizes correspond to a
Made from 100% organic ring-spun cotton, this unisex t-shirt is a total must-have. It's high-quality, super comfy, and best of all—eco-friendly.• 100% organic ring-spun cotton
• Fabric weight: 5.3 oz/yd² (180 g/m²)
• Single jersey
• Medium fit
• Set-in sleeves
• 1 × 1 rib at collar
• Wide double-needle topstitch on the sleeves and bottom hems
• Self-fabric neck tape (inside, back of the neck)
• Blank product sourced from China or Bangladesh
The sizes correspond to a smaller size in the US market, so US customers should order a size up.
This product is made especially for you as soon as you place an order, which is why it takes us a bit longer to deliver it to you. Making products on demand instead of in bulk helps reduce overproduction, so thank you for making thoughtful purchasing decisions!
Size guide
| BODY LENGTH (inches) | CHEST WIDTH (inches) | SLEEVE LENGTH (inches) | |
| S | 27 ¼ | 19 ¼ | 8 ⅛ |
| M | 28 ¼ | 20 ½ | 8 ½ |
| L | 29 ⅛ | 21 ¾ | 8 ⅞ |
| XL | 29 ⅞ | 22 ¾ | 8 ⅞ |
| 2XL | 30 ¾ | 24 | 9 ¼ |
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4.4 ★★★★★
Based on 2204 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026
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