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    Categories>AI>AI Post-Training for Real-World Applications

    AI Post-Training for Real-World Applications

    10分
    |
    |
    2025年10月26日
    AITechnologyBusiness

    Discover how businesses are transforming AI models for specific needs through parameter-efficient fine-tuning, domain adaptation, and practical implementation strategies that deliver measurable results.

    AI Post-Training for Real-World Applications

    AI Post-Training for Real-World Applicationsのベスト引用

    “

    Post-training is really about taking these massive pre-trained models and adapting them; it's like having an incredibly knowledgeable assistant and teaching them your company's specific way of doing things.

    ”

    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

    Ai post training for application

    ホストの声
    Lenaplay
    Eliplay
    知識ソース
    A Survey on Post-training of Large Language Models
    link
    https://arxiv.org/abs/2503.06072
    Fine-tuning large language models for domain adaptation - Nature
    link
    https://www.nature.com/articles/s41524-025-01564-y
    Fine-tuning and Utilization Methods of Domain-specific LLMs
    link
    https://www.researchgate.net/publication/377237167_Fine-tuning_and_Utilization_Methods_of_Domain-specific_LLMs
    PEFT, LoRA & QLoRA: Smarter, Faster Fine-Tuning for Domain LLMs
    link
    https://medium.com/@akankshasinha247/peft-lora-qlora-smarter-faster-fine-tuning-for-domain-llms-3d7b7fdf9671
    What is parameter-efficient fine-tuning (PEFT)? - IBM
    link
    https://www.ibm.com/think/topics/parameter-efficient-fine-tuning
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    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
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    料金arrow
    よくある質問arrow
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    重要なポイント

    1

    Opening & Welcome

    0:00
    0:22
    0:43
    2

    Topic Introduction & Source Material Setup

    0:54
    1:08
    1:33
    1:53
    3

    Understanding the Post-Training Landscape

    2:05
    2:16
    2:38
    1:08
    3:11
    1:53
    4

    The PEFT Revolution: Efficiency Meets Performance

    3:29
    3:38
    3:59
    4:07
    4:27
    1:53
    5

    Domain Adaptation Success Stories

    4:58
    5:06
    5:25
    5:41
    5:59
    1:08
    6

    Technical Deep Dive: Methods and Mechanisms

    6:27
    6:33
    6:52
    1:53
    7:14
    7:30
    7

    Practical Applications & Listener Takeaways

    7:46
    7:52
    1:33
    1:53
    8:35
    8:49
    9:02
    8

    Wrap-up & Closing Reflection

    9:17
    1:08
    9:44
    9:57
    10:11
    10:24
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