SKU: 78196170300

Generator VAG 120A

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Generator VAG 120AVoltage 12 Amperage 120 VW VOLKSWAGEN Passat 2. 3 V5 3B 2000 2005 2324ccm AZX VW VOLKSWAGEN Passat 2. 3 V5 4 Motion 3B 2000 2005 2324ccm AZX VW VOLKSWAGEN Passat 2. 3 VR5 3B 1998 2000 2324ccm AGZ VW VOLKSWAGEN Passat 2. 3 VR5 syncro 3B 1998 2000 2324ccm AGZ OE NUMMER: 0124325020 0124515024 0124515027 0124515058 038903018F 038903018FX 071903016C 071903016D 071903016E 0986044540 113283 2113101202 211310902 2113141202 28 4525 28 4718 ALT10374 DRB4540

Generator VAG 120A
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SKU: 78196170300

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4.8 ★★★★★
Based on 241 reviews
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Product Reviews
J
Verified Purchase
Jason Bolton
Port Orchard, 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
Bozeman, 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
West Palm Beach, 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
Boise, 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
Los Angeles, 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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