Seibon 2012+ Volkswagen Golf MK7 TT-Style Carbon Fiber Rear Spoiler

Seibon 2012+ Volkswagen Golf MK7 TT-Style Carbon Fiber Rear Spoiler

Marsoni

M251S

$257.48

Get it in 3 business days with 1 day shipping. Friday, May 29

Seibon 2012+ Volkswagen Golf MK7 TT-Style Carbon Fiber Rear SpoilerSKU: RS12VWG7 TT UPC: 887753476982 Seibon 2015 2021 Volkswagen Golf MK7 TT Style Carbon Fiber Rear Spoiler This Seibon TT style rear spoiler adds aggressive styling and aerodynamic downforce to 2015 2021 Volkswagen Golf MK7 sedans, excluding GTI and R models. Hand crafted from premium carbon fiber, it reduces weight while increasing rear stability at high speeds. Install directly using OEM mounting points for a factory like fit. Key Features

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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.

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Reviewed in the United States on June 25, 2024

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Matt B

Chelsea, 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

Verified Purchase

Massapequa, 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

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K. Wain

Pawtucket, 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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Kevin Barry

Waukegan, US

★★★★★ 5

Necessary book to actually get value from AI tools

Format: Kindle

If you don't know how to prompt AI models correctly, you're missing out on substantially better results. This book has literally everything I could have asked for, it's an awesome resource.

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Reviewed in the United States on June 21, 2024