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    Mastering AI: From Neural Networks to ChatGPT

    28分
    |
    |
    2025年12月5日
    AITechnologyScience

    Unlock the secrets behind ChatGPT and large language models. Learn how probabilistic text generation, neural networks, and embeddings create AI that seems almost magical-and master these tools through deep understanding.

    Mastering AI: From Neural Networks to ChatGPT

    Mastering AI: From Neural Networks to ChatGPTのベスト引用

    “

    ChatGPT is essentially asking itself, over and over again, 'Given everything I've written so far, what word is most likely to come next?' It's not following a script or retrieving stored answers—it's making educated guesses, one word at a time.

    ”

    このオーディオレッスンはBeFreedコミュニティメンバーが作成しました

    質問を入力

    Understanding and mastering AI / LLMs

    ホストの声
    Lenaplay
    Eliplay
    知識ソース
    Artificial Intelligence and Generative AI for Beginners
    A Comprehensive Overview of Large Language Models - arXiv
    link
    https://arxiv.org/html/2307.06435v9
    What Is ChatGPT Doing ... and Why Does It Work?
    ChatGPT for Dummies
    Fine-Tuning LLMs: Overview, Methods, and Best Practices - Turing
    link
    https://www.turing.com/resources/finetuning-large-language-models
    Large language models: an overview of foundational architectures ...
    link
    https://link.springer.com/article/10.1007/s42452-025-07668-w

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    @Moemenn
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    @Chloe, Solo founder, LA
    platform
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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

    @Raaaaaachelw
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    star
    star
    star
    star
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    @Matt, YC alum
    platform
    comments
    12
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    108

    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
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    @djmikemoore
    platform
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    注目の書籍要約
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    人気のカテゴリ
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    著名人の読書リスト
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    受賞作品コレクション
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    注目のトピック
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年別ベストブック
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    学習ツール
    Knowledge VisualizerAI Podcast Generator
    注目の著者
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs 他のアプリ
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
    情報
    会社概要arrow
    料金arrow
    よくある質問arrow
    ブログarrow
    採用情報arrow
    パートナーシップarrow
    アンバサダープログラムarrow
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    BeFreed
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    © 2026 BeFreed
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    Learn AI fundamentals
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    3 h 53 m•4 エピソード

    重要なポイント

    1

    Opening & Welcome

    0:00
    0:17
    0:36
    2

    Topic Introduction & Source Material Setup

    1:00
    1:25
    1:46
    2:05
    3

    The Probabilistic Poetry of Language Generation

    2:24
    2:38
    0:36
    3:17
    3:35
    3:58
    4:17
    4:38
    4

    From Raw Data to Emergent Understanding

    4:59
    5:11
    1:25
    5:44
    5:56
    6:18
    6:37
    6:53
    5

    Neural Networks: Simple Parts Creating Complex Intelligence

    7:10
    7:24
    7:41
    7:56
    8:13
    8:32
    0:36
    9:04
    9:19
    6

    The Evolution of AI: From Engineering to Emergence

    9:33
    9:45
    1:25
    10:17
    5:56
    10:44
    1:25
    11:12
    11:25
    7

    The Hidden Language of Meaning: Embeddings

    11:43
    11:54
    1:25
    12:29
    0:36
    13:01
    13:18
    13:33
    13:49
    14:04
    8

    The Surprising Simplicity Behind Language

    14:17
    14:26
    0:36
    15:02
    1:25
    15:33
    15:46
    16:03
    0:36
    9

    The Future: Blending Language with Computation

    16:33
    16:42
    1:25
    17:19
    17:34
    17:53
    18:11
    18:30
    18:47
    10

    Mastering AI Through Understanding

    19:04
    19:15
    1:25
    19:46
    5:56
    20:16
    20:32
    20:46
    20:58
    11

    The Technical Landscape: From GPT to Specialized Models

    21:13
    21:22
    1:25
    17:19
    22:14
    22:32
    22:46
    23:00
    23:13
    23:25
    12

    Applications and Real-World Impact

    23:41
    23:54
    24:13
    24:30
    24:45
    25:01
    0:36
    25:34
    25:47
    13

    Wrap-up & Closing Reflection

    26:02
    19:15
    1:25
    26:50
    27:07
    27:21
    27:36
    17:19
    28:02
    19:15

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