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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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c. LLM 基础

1. 什么是语言模型chevron-right10. Multi-modalchevron-right2. Tokenizationchevron-right3. Position Encodingchevron-right4. Attentionchevron-right5. Transformerchevron-right6. Bert GPT T5chevron-right7. Decoding Strategychevron-right8. MoEchevron-right9. Mamba and State Space Modelschevron-rightBuild LLM from Scratchchevron-right
Previous8. 工程可视化chevron-leftNext1. 什么是语言模型chevron-right

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