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    AI Post-Training for Real-World Applications

    10 分钟
    |
    |
    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最佳语录

    “

    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.

    ”

    此音频课程由 BeFreed 社区成员创建

    输入问题

    Ai post training for application

    主持声音
    Lenaplay
    Eliplay
    知识来源
    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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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
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    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

    @Leo, Law Student, UPenn
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    精选书籍摘要
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    热门分类
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    名人书单
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    获奖作品
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    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
    学习工具
    Knowledge VisualizerAI Podcast Generator
    精选作者
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed 与其他应用对比
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    该学习计划的一部分

    Deep Dive: AI Architecture & Model Training
    学习计划

    Deep Dive: AI Architecture & Model Training

    4 h 46 m•4 集数
    LLM personalization and memory
    学习计划

    LLM personalization and memory

    3 h 26 m•4 集数

    核心要点

    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
    10:37

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