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

    AI Post-Training for Real-World Applications

    10 min
    |
    |
    26 de out. de 2025
    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

    Melhor citação de AI Post-Training for Real-World Applications

    “

    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.

    ”

    Esta aula em áudio foi criada por um membro da comunidade BeFreed

    Pergunta de entrada

    Ai post training for application

    Vozes dos apresentadores
    Lenaplay
    Eliplay
    Fontes de conhecimento
    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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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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

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

    @djmikemoore
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    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    Lista de leitura de celebridades
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    Coleção premiada
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    Tópicos em destaque
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Melhores livros por ano
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    Ferramentas de aprendizado
    Knowledge VisualizerAI Podcast Generator
    Autores em destaque
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
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    Parte de um plano de aprendizagem

    Deep Dive: AI Architecture & Model Training
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    LLM personalization and memory
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    Pontos-chave

    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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