SKU: 71771791179
fahrradhelm yadd i

fahrradhelm yadd i ABUS

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Description

fahrradhelm yadd i ABUSMit kantigem, reduziertem Design in "Polygon" Optik passt der Yadd I in jedes Stadtbild. Reduziert auf das Wesentliche, bietet er eine hervorragende Belftung durch drei intelligent angelegte Lftungskanle, die fnf Ventilationsffnungen verbinden. Die Forced Air Cooling Technology sorgt mit ihrem intelligenten Belftungssystem trotz geschlossener Helmform fr einen khlen Kopf. Das neu entwickelte Soft Tune System stellt sich dank flexiblem Gummizug von

Mit kantigem, reduziertem Design in "Polygon"-Optik passt der Yadd-I™ in jedes Stadtbild.

Reduziert auf das Wesentliche, bietet er eine hervorragende Belüftung durch drei intelligent angelegte Lüftungskanäle, die fünf Ventilationsöffnungen verbinden. Die Forced Air Cooling Technology sorgt mit ihrem intelligenten Belüftungssystem trotz geschlossener Helmform für einen kühlen Kopf.

Das neu entwickelte Soft Tune System stellt sich dank flexiblem Gummizug von selbst auf die Eigenschaften des Trägers ein und sorgt für einen hervorragenden Sitz bei höchstem Komfort.

ABUS - ABUS - Yadd-I - Vorteile:

  • cooles Design!!!
  • aufs wesentliche konzentriert

ABUS - ABUS - Yadd-I - Eigenschaften:

  • In-Mold für langlebige Verbindung der Außenschale mit dem stoßabsorbierenden Helmmaterial (EPS)
  • Soft Tune System - Elastisches, variables Anpassungssystem für sicheren Halt und hohen Komfort
  • Forced Air Cooling Technology - Intelligentes Belüftungssystem mit fünf Belüftungsöffnungen, die durch speziell konzipierte Strömungskanäle miteinander verbunden sind
  • Herausnehmbare und waschbare Polster mit höchsten Tragekomfort
  • Riemen mit weicher Oberfläche und einfacher Einstellmöglichkeit durch praktische Gurtstraffer
  • Abnehmbares Stoffvisier

ABUS - ABUS - Yadd-I - Auszeichnungen:

  • 2017 - Plus X Award
    Die Jury meint:
    "Der Fahrradhelm Yadd-I von Abus zeichnet sich durch hohe Qualität und Design aus. Die Qualität wird besonders durch die Verwendung hochwertiger Materialien belegt. Der Styroporschaum und die druckresistente Schale wurden mittels In-Moulding Technologie miteinander verbunden und garantieren so eine lange Lebensdauer des Helmes. Die Schale ist aus hochwertigem Zwei-Komponenten-Kunststoff gefertigt. Im Design präsentiert sich der Yadd-I ohne Ecken und Kanten. Seine Optik fokussiert auf den Sicherheitsaspekt, die abgerundete Form symbolisiert die Anpassung an die Kopfform – und unterstützt die Sicherheit des Trägers."

ABUS - ABUS - Yadd-I - Lieferumfang:

  • Helm

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SKU: 71771791179

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4.5 ★★★★★
Based on 27 reviews
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S
Verified Purchase
Scott J. Pearson
Lake Worth, 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
Alexandria, 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
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Lexington, 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
New York, 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

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