OnePlus Open Glas Skærmbeskyttelse - Case Friendly - Gennemsigtig / Sort Kant

OnePlus Open Glas Skærmbeskyttelse - Case Friendly - Gennemsigtig / Sort Kant

Name: OnePlus Open Glas Skærmbeskyttelse - Case Friendly - Gennemsigtig / Sort Kant
Brand: pianetabrick.it
SKU: 20172499190
Price: 129.00 USD
Availability: InStock
Rating: 4.8100000000000005 (1552 reviews)

Marsoni

M251S

$129.00

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OnePlus Open Glas Skærmbeskyttelse - Case Friendly - Gennemsigtig / Sort KantHer er et beskyttelsesglas til OnePlus Open, der effektivt beskytter din smartphone mod ridser og skrammer samt generel slitage. Dette hrdede glas er skabt i fin kvalitet og er srligt optimeret til at beskytte skrmen mod dagligdagens uheld. Det yder effektiv beskyttelse mod bde ridser og flnger og reducerer risikoen for skader, hvis du taber telefonen eller den fr et slag. Glasset stopper en smule fra kanten af skrmen, hvilket gr det kompatibelt med

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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

Grantham, 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

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Lake Worth, 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

New York, 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

Pawtucket, 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