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    KI & LLM verstehen: Ein Beginner Guide zur technischen Basis

    43 分钟
    |
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    2026年4月9日
    AITechnologyScience

    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

    KI & LLM verstehen: Ein Beginner Guide zur technischen Basis最佳语录

    “

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

    ”

    此音频课程由 BeFreed 社区成员创建

    输入问题

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

    主持声音
    Eliplay
    Milesplay
    学习风格
    深度
    知识来源
    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

    常见问题

    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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    3 h 11 m•4 章节
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    学习计划

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    In an increasingly unpredictable world, the ability to quantify risk and think statistically is a critical competitive advantage. This plan is designed for professionals and decision-makers who want to replace guesswork with data-driven confidence and sharper mental models.

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    AI与机器学习实战进阶指南

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    热门分类
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    名人书单
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    获奖作品
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    精选主题
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年度最佳书籍
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
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    Knowledge VisualizerAI Podcast Generator
    精选作者
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
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    核心要点

    1

    Die gigantische Wahrscheinlichkeitsmaschine im Hintergrund

    0:00
    0:14
    0:39
    0:49
    1:13
    1:24
    2

    Attention als der Kleber zwischen den Wörtern

    1:39
    1:53
    2:22
    2:26
    2:47
    2:58
    3:25
    3:35
    3:58
    4:12
    4:27
    4:31
    4:52
    5:05
    5:22
    5:27
    5:53
    6:01
    3

    Die Reise vom Klick zum Wort

    6:21
    6:35
    6:56
    6:58
    7:19
    7:40
    7:45
    8:04
    8:07
    8:23
    2:58
    8:47
    8:51
    9:08
    9:11
    0:40
    9:47
    10:07
    10:17
    10:34
    10:39
    10:57
    11:09
    11:27
    11:36
    11:57
    12:01
    4

    Das Gehirn aus Silizium und Strom

    12:22
    12:42
    13:04
    13:13
    13:48
    13:52
    5:53
    14:29
    14:48
    14:51
    15:13
    15:22
    15:44
    15:47
    16:06
    16:09
    16:27
    16:39
    8:47
    2:26
    17:24
    17:34
    5

    Vom Plappermaul zum Problemlöser

    18:00
    18:21
    18:33
    18:43
    19:02
    19:11
    19:33
    19:42
    20:01
    20:05
    20:23
    20:38
    20:55
    20:58
    21:19
    21:24
    21:41
    21:53
    22:14
    22:27
    22:48
    11:09
    6

    Die Magie des Prompt Engineering

    23:16
    23:32
    23:51
    23:58
    24:16
    24:24
    24:43
    24:52
    25:18
    25:26
    25:50
    25:54
    26:11
    26:20
    26:39
    26:43
    27:00
    27:13
    27:30
    27:36
    27:53
    27:57
    7

    Die dunkle Seite der Sprachmodelle

    28:19
    28:36
    28:55
    29:05
    29:28
    2:58
    8:47
    30:07
    30:29
    30:36
    30:55
    31:01
    31:22
    31:37
    32:03
    11:09
    32:31
    0:14
    8

    Die Zukunft ist multimodal und überall

    32:59
    33:14
    33:34
    2:26
    33:59
    34:06
    34:28
    34:33
    1:13
    34:57
    35:19
    35:24
    35:41
    35:48
    36:11
    0:14
    36:32
    36:45
    9

    Der Weg zum KI-Profi im Alltag

    36:57
    37:12
    37:30
    6:01
    37:50
    37:58
    38:21
    38:26
    8:47
    38:54
    39:10
    9:11
    39:35
    39:41
    40:02
    40:13
    40:31
    40:42
    10

    Unterm Strich: Der Mensch im Fahrersitz

    40:52
    41:10
    41:26
    41:42
    42:00
    42:16
    42:28
    42:41
    42:50
    11:09
    43:15
    43:21

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