SKU: 1768768992

MÜTZE MIT UMLAUFENDER KANTE - 1008C - MOSS

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Description

MÜTZE MIT UMLAUFENDER KANTE - 1008C - MOSSEine zeitlose Beanie fr Komfort, Wrme und Alltag. Die klare Silhouette und die umgeschlagene Kante schaffen einen klassischen Look, der in den klteren Monaten mhelos funktioniert. Gefertigt aus HSCPH Signature fleece fhlt sie sich weich auf der Haut an, ohne das Kratzen, das oft mit Wolle verbunden wird. Ein einfaches Winter Essential, das sich natrlich mit passenden Schals und deiner Lieblingsouterwear kombinieren lsst. WARUM KUNDINNEN ES LIEBEN *

Eine zeitlose Beanie für Komfort, Wärme und Alltag. Die klare Silhouette und die umgeschlagene Kante schaffen einen klassischen Look, der in den kälteren Monaten mühelos funktioniert. Gefertigt aus HSCPH Signature fleece fühlt sie sich weich auf der Haut an, ohne das Kratzen, das oft mit Wolle verbunden wird.

Ein einfaches Winter-Essential, das sich natürlich mit passenden Schals und deiner Lieblingsouterwear kombinieren lässt.

WARUM KUNDINNEN ES LIEBEN
* HSCPH Signature fleece
* Weich und angenehm auf der Haut
* Warm, ohne schwer zu wirken
* Leicht mit Alltagslooks zu stylen

STYLE FACTS
Klassische Beanie mit umgeschlagener Kante und dekorativen Grosgrainband-Details.

CRAFTED WITH CARE
Mit Sorgfalt gefertigt. Unser speziell entwickeltes atmungsaktives fleece wird in Europa aus einer Mischung aus 70% Polyester und 30% Viscose hergestellt. Frei von Schadstoffen. 100% EU-Produktion. Maschinenwäsche und zum Trocknen aufhängen. OEKO-TEX® STANDARD 100 zertifiziert, Zert. Nr. 2176-347 DTI.

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SKU: 1768768992

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4.1 ★★★★★
Based on 6 reviews
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Product Reviews
M
Verified Purchase
Marilyn solano
Alexandria, US
★★★★★ 5
Interesting
Format: Paperback
Product with very good quality, its description matches the website.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
D
Verified Purchase
Daniel Rosehill
Port Orchard, US
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2024
S
Verified Purchase
Scott J. Pearson
Lexington, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Houston, 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
Draper, 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

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