SKU: 73860780958

Vintage Rauchglas Gläser Set 70er Jahre Wassergläser H 7,5 cm Glas

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Vintage Rauchglas Gläser Set 70er Jahre Wassergläser H 7,5 cm GlasDieses Vintage Rauchglas Set aus den 70er Jahren besteht aus eleganten Wasserglsern mit einer Hhe von 7,5 cm. Die charakteristische rauchgraue Tnung verleiht jedem Glas einen zeitlosen, stilvollen Charakter und sorgt fr eine besondere Atmosphre bei jeder Gelegenheit. Ideal fr Liebhaber klassischer Designobjekte, verbindet dieses Set Funktionalitt mit einem sthetischen Retro Charme. Robust gefertigt, eignen sich die Glser sowohl fr den tglichen

Dieses Vintage Rauchglas-Set aus den 70er Jahren besteht aus eleganten Wassergläsern mit einer Höhe von 7,5 cm. Die charakteristische rauchgraue Tönung verleiht jedem Glas einen zeitlosen, stilvollen Charakter und sorgt für eine besondere Atmosphäre bei jeder Gelegenheit. Ideal für Liebhaber klassischer Designobjekte, verbindet dieses Set Funktionalität mit einem ästhetischen Retro-Charme. Robust gefertigt, eignen sich die Gläser sowohl für den täglichen Gebrauch als auch für besondere Anlässe.

Designer: -
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Maße: H 7,5 cm
Zeitraum: 1950er
Signatur / Zuordnung: -
Artikelzustand: gut
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SKU: 73860780958

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4.7 ★★★★★
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J
Verified Purchase
Jason Bolton
Cuba, 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
Battle Creek, 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
Birmingham, 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.
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Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Grantham, 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
Battle Creek, 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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