SKU: 43552218068

tartine et chocolat toile de jouy uyku tulumu lacivert

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tartine et chocolat toile de jouy uyku tulumu lacivertDescription: Blue Toile de Jouy inspired 'coup de coeur' print cotton muslin sleeping bag, by Tartine et Chocolat. Dimensions: 70 cm (3 to 9 months). We recommend using our sleeping bags in a room temperature between 19 and 22 degrees. Product Content: MAIN FABRIC: 100% COTTON SECOND FABRIC: 100% COTTON FILLING: 100% POLYESTER More Information: Machine wash at 30C on a normal cycle, do not bleach, do not tumble dry, iron at a maximum of 110C, do not

tartine et chocolat toile de jouy uyku tulumu lacivert
tartine et chocolat toile de jouy uyku tulumu lacivert
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SKU: 43552218068

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4.1 ★★★★★
Based on 848 reviews
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J
Verified Purchase
James Gianoglio
Carnegie, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Waukegan, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Lexington, 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
K
Verified Purchase
K. Wain
Cuba, 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
K
Verified Purchase
Kevin Barry
Omaha, US
★★★★★ 5
Necessary book to actually get value from AI tools
Format: Kindle
If you don't know how to prompt AI models correctly, you're missing out on substantially better results. This book has literally everything I could have asked for, it's an awesome resource.
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Reviewed in the United States on June 21, 2024

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