SKU: 55610600720

STAHLWILLE Steckschlüsselsatz 52/16/6QR 22-teilig 1/2 ″ ( 4000826444 )

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Description

STAHLWILLE Steckschlüsselsatz 52/16/6QR 22-teilig 1/2 ″ ( 4000826444 )Lieferumfang: Steckschlsselsatz 52 16 6QR 22 teilig 1 2 Lieferung in stapelbarer ABS Kunststoffkassette Produktbeschreibung: 12,5 mm (1 2 ) Vierkantantrieb mit QuickRelease Sicherheitsverriegelung Steckschlssel Einstze und Bedienelemente aus Chrom Alloy Stahl verchromt Inhalt: je 1 6 kant Steckschlssel Einsatz SW 10 11 12 13 14 15 16 17 18 19 21 22 24 27 30 32 mm 1 Hebel Umschaltknarre (80 Zhne schraubenlose Ausfhrung) mit 2 Komponenten Griff, QR

Lieferumfang:
Steckschlüsselsatz 52/16/6QR 22-teilig 1/2 ″
Lieferung in stapelbarer ABS-Kunststoffkassette

Produktbeschreibung:
12,5 mm (1/2 ″)-Vierkantantrieb · mit QuickRelease-Sicherheitsverriegelung · Steckschlüssel-Einsätze und Bedienelemente aus Chrom-Alloy-Stahl · verchromt · Inhalt: je 1 6-kant Steckschlüssel-Einsatz SW 10 / 11 / 12 / 13 / 14 / 15 / 16 / 17 / 18 / 19 / 21 / 22 / 24 / 27 / 30 / 32 mm 1 Hebel-Umschaltknarre (80 Zähne - schraubenlose Ausführung) mit 2-Komponenten-Griff, QR-Sicherheitsverriegelung je 1 Verlängerung 75 / 130 / 255 mm 1 Quergriff mit Gleitstück 1 Kardangelenk

Technische Daten:

  • Rückschwenkwinkel: 10°
  • Material: Chrom-Alloy-Stahl
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SKU: 55610600720

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4.4 ★★★★★
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Product Reviews
J
Verified Purchase
Jason Bolton
Houston, 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
Whiting, 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
San Leandro, 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
Lowell, 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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