SKU: 52828169560

3306 atn9 c3 skf

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Description

3306 atn9 c3 skfTechnische Basisdaten Auendurchmesser: 72 mm ueres Breitenma: 30,200 mm Gewicht: 534 Gramm Herstellungsland: sterreich Zolltarifnummer: 8482 1090 Erweiterte technische Daten Anzahl der Reihen 2 Auendurchmesser 72 mm Berhrungswinkel 30 Beschichtung Ohne ueres Breitenma 30. 2 mm Dynamische Tragzahl 42. 5 kN Einzelgewicht 0. 52 kg Grenzdrehzahl 9 000 r min Kontakttyp Normaler Kontakt (Zwei Punktkontakt) Nachschmierfunktion Ohne Passungsanordnung Kein(e)

Technische Basisdaten

Außendurchmesser: 72 mm
Äußeres Breitenmaß: 30,200 mm
Gewicht: 534 Gramm
Herstellungsland: Österreich
Zolltarifnummer: 8482 1090


Erweiterte technische Daten

Anzahl der Reihen 2
Außendurchmesser 72 mm
Berührungswinkel 30 °
Beschichtung Ohne
Äußeres Breitenmaß 30.2 mm
Dynamische Tragzahl 42.5 kN
Einzelgewicht 0.52 kg
Grenzdrehzahl 9 000 r/min
Kontakttyp Normaler Kontakt (Zwei-Punktkontakt)
Nachschmierfunktion Ohne
Passungsanordnung Kein(e)
Referenzdrehzahl 10 000 r/min
Statische Tragzahl 30 kN
UNSPSC-Code 31171531
eClass-Code 23-05-08-03
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SKU: 52828169560

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4.8 ★★★★★
Based on 28 reviews
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Product Reviews
J
Verified Purchase
Jason Bolton
Lowell, 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
Port Orchard, 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
Fort Morgan, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024
K
Verified Purchase
K. Wain
Fort Morgan, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026

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