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Ruida Docs
  • a. 基础知识
  • b. PyTorch
  • c. LLM 基础
    • 1. 什么是语言模型
    • 10. Multi-modal
    • 2. Tokenization
    • 3. Position Encoding
    • 4. Attention
    • 5. Transformer
    • 6. Bert GPT T5
    • 7. Decoding Strategy
    • 8. MoE
    • 9. Mamba and State Space Models
    • Build LLM from Scratch
  • d. 分布式训练
  • e. Pre-Training
  • f. Post-Training
  • g. LLM Inference
  • h. Agent
  • i. 主流大模型技术
  • j. 其他
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  1. c. LLM 基础

10. Multi-modal

介绍多模态大规模语言模型的基本概念及其应用

  • 参考资料

    • Understanding Multimodal LLMs - by Sebastian Raschka, PhDarrow-up-right

    • The Illustrated Stable Diffusion – Jay Alammar – Visualizing machine learning one concept at a time.arrow-up-right

    • Cracking the Code to Multimodal AI Pipelinesarrow-up-right

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Last updated 49 minutes ago

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