SKU: 52558577983

afam a520xlr2 x ring aandrijfketting 520 94 0 a520xlr2 94l

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afam a520xlr2 x ring aandrijfketting 520 94 0 a520xlr2 94lAFAM: de toonaangevende technologie AFAM is ontwerpen en ontwikkelen van topkwaliteit Drive Chains Sin 1975 en heeft op dit gebied speciale knowhow gekregen. Het merk verlengt voortdurend zijn technologien en producten om de beste transmissie voor uw fiets te maken. Kettingtype 520 XLR2COLOUR: STEAL Gepresseerde AttachmentXS ring O ring (AFAM technologie) Verminderde wrijving dankzij de XS Rods Road en TT rijden van 125cc tot 400cc Chain_Color: Steel

AFAM: de toonaangevende technologie

AFAM is ontwerpen en ontwikkelen van topkwaliteit Drive Chains Sin 1975 en heeft op dit gebied speciale knowhow gekregen. Het merk verlengt voortdurend zijn technologieën en producten om de beste transmissie voor uw fiets te maken.
Kettingtype 520 XLR2COLOUR: STEAL-Gepresseerde AttachmentXS-ring O-ring (AFAM-technologie) Verminderde wrijving dankzij de XS-Rods Road en TT-rijden van 125cc tot 400cc Chain_Color: Steel Chain_0.0 Chain: 94.0 Chaw. Connecting_Link: Geperte clip ring_type: X-ring gebruik: aan/off-road

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SKU: 52558577983

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4.6 ★★★★★
Based on 692 reviews
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Product Reviews
J
Verified Purchase
Jason Bolton
Battle Creek, 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
Cuba, 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
Lowell, 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
Natrona Heights, 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
Lake Worth, 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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