SKU: 28714441409

447 920 weisser holzrahmen mit braunem hintergrundprofil mass 65x55 mm

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447 920 weisser holzrahmen mit braunem hintergrundprofil mass 65x55 mmVerfeinerte echte Holzrahmen mit Wellkreideboden. Der Rahmen wird von Hand in wei gemaltem mit einem braunen Hintergrund gemalt. Der glatte Rahmen verfgt ber ein gezogenes Profil unter Verwendung eines Originalprofils, das eine klassische und zeitgeme Form hat, der Rahmen ist in Wachs fertig. Das Meisterwerk der klassischen berwachungskunst mit einem raffinierten und hochwertigen Design ist in unserem Labor auerhalb von Mailand in Italien vollstndig

Verfeinerte echte Holzrahmen mit Wellkreideboden. Der Rahmen wird von Hand in weiß gemaltem mit einem braunen Hintergrund gemalt. Der glatte Rahmen verfügt über ein gezogenes Profil unter Verwendung eines Originalprofils, das eine klassische und zeitgemäße Form hat, der Rahmen ist in Wachs fertig.


Das Meisterwerk der klassischen Überwachungskunst mit einem raffinierten und hochwertigen Design ist in unserem Labor außerhalb von Mailand in Italien vollständig handgefertigt.


Die hübschen, geriebenen Frames eignen sich ideal für die Überwachung von Arbeiten in Hotels, Restaurants, Luxusgeschäften, aber auch für Arbeiten in Museen und privaten Sammlungen können Sie schöne Spiegel erstellen, die das Aussehen der Umgebung verbessern, in der sie eingeführt werden.

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SKU: 28714441409

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4.9 ★★★★★
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J
Verified Purchase
Jason Bolton
Birmingham, US
★★★★★ 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
J
Verified Purchase
James Gianoglio
Lexington, 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
New York, 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
Pawtucket, 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
Waukegan, 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

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