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    Categories>Technology>KI & LLM verstehen: Ein Beginner Guide zur technischen Basis

    KI & LLM verstehen: Ein Beginner Guide zur technischen Basis

    43 min
    |
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    9 апр. 2026 г.
    Technology

    Erfahre in diesem Beginner Guide, wie Künstliche Intelligenz und LLMs wirklich funktionieren. Wir erklären die technische Basis von Machine Learning bis Deep Learning.

    KI & LLM verstehen: Ein Beginner Guide zur technischen Basis

    Лучшая цитата из KI & LLM verstehen: Ein Beginner Guide zur technischen Basis

    “

    Die KI sollte ein Exoskelett für unseren Geist sein, kein Ersatz für unser Gehirn.

    ”
    A

    Generated by Andreas Fischinger

    Вопрос для ввода

    Ein beginners Guide in die Funktion von AI/LLM, wie sie funktionieren und deren technische Basis.

    Голоса ведущих
    Eliplay
    Milesplay
    Источники знаний
    Make your own neural network
    Artificial Intelligence and Generative AI for Beginners
    ChatGPT for Dummies
    What Is ChatGPT Doing ... and Why Does It Work?
    Hands-on Machine Learning With Scikit-learn And Tensorflow
    Python Cookbook

    Часто задаваемые вопросы

    Die technische Basis von Large Language Models liegt im Bereich des Deep Learning und der neuronalen Netze. Diese Modelle werden mit riesigen Datenmengen trainiert, um statistische Wahrscheinlichkeiten von Wortfolgen zu berechnen. In unserem Podcast besprechen Lena und Eli, wie diese Architektur es der KI ermöglicht, menschenähnliche Texte zu generieren und komplexe Zusammenhänge zu verstehen, ohne dabei echtes Bewusstsein zu besitzen.

    Künstliche Intelligenz basiert auf Algorithmen des Machine Learning, die Muster in Daten erkennen und daraus Vorhersagen treffen. Anstatt starr programmiert zu sein, lernt das System aus Beispielen. Jackson und Nia erklären anschaulich, wie diese KI Funktionsweise heute Anwendungen wie Chatbots oder Bilderkennung ermöglicht und warum das Verständnis der Grundlagen für Einsteiger so wichtig ist, um die Technologie sicher zu nutzen.

    Machine Learning ist der Oberbegriff für Verfahren, bei denen Computer eigenständig Wissen aus Daten generieren. Deep Learning ist eine spezielle Unterform, die mehrschichtige neuronale Netze nutzt, um besonders komplexe Aufgaben zu lösen. Miles und Samantha erläutern im Guide, warum Deep Learning der entscheidende Motor hinter modernen LLMs ist und wie sich diese KI Technik von klassischen statistischen Modellen unterscheidet.

    Da Künstliche Intelligenz immer tiefer in unseren Alltag eindringt, hilft ein fundiertes Verständnis der KI Grundlagen dabei, Mythen von Fakten zu trennen. Willow und Cedric führen dich durch die wichtigsten Begriffe wie Parameter, Training und Inferenz. Dieser Guide bietet eine strukturierte Einführung in die Welt der Large Language Models, damit du die Potenziale und Grenzen dieser Technologie besser einschätzen kannst.

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    Ключевые выводы

    1

    Die gigantische Wahrscheinlichkeitsmaschine im Hintergrund

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    Attention als der Kleber zwischen den Wörtern

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    Die Reise vom Klick zum Wort

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    Das Gehirn aus Silizium und Strom

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    Vom Plappermaul zum Problemlöser

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    Die Magie des Prompt Engineering

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    Die dunkle Seite der Sprachmodelle

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    Die Zukunft ist multimodal und überall

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    Der Weg zum KI-Profi im Alltag

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    Unterm Strich: Der Mensch im Fahrersitz

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    This learning plan is essential for anyone looking to enter or advance in the rapidly growing field of artificial intelligence, whether you're a software developer, data professional, or career changer. It provides both the theoretical foundation and practical skills needed to build real AI systems, while also addressing the critical ethical considerations that every AI practitioner must understand. Perfect for those who want to go beyond surface-level AI knowledge and develop the expertise to create, deploy, and responsibly manage machine learning solutions.

    3 h 49 m•4 Разделы