Dunlop D38 Nylon Black And White Checkered Strap

Dunlop D38 Nylon Black And White Checkered Strap

Marsoni

M251S

$18.99

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

Dunlop D38 Nylon Black And White Checkered StrapThe D38 Black and White Checkered Strap from Dunlop features a unique woven design. This Classic strap is constructed of jacquard woven polyester. Boasting a 65" extra long adjustable length, patented "Comfort Edge" webbing to prevent neck irritation, and 100% high quality leather ends. Dunlop has gone out of its way to provide a great strap at an even better price.

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Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering. If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity. I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did. Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.

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Reviewed in the United States on August 3, 2024

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Scott J. Pearson

West Palm Beach, US

★★★★★ 4

Understanding AI prompts as a science

Format: Audiobook

Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.

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Reviewed in the United States on December 13, 2025

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Jason Bolton

Fort Morgan, US

★★★★★ 5

Great book

Format: Paperback

Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence

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Reviewed in the United States on December 20, 2025

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James Gianoglio

Charlottesville, 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.

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Reviewed in the United States on June 25, 2024