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Topic · course lecture lms

course lecture lms

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  1. UofT GenAI Course -- Lecture 14: Maximum Likelihood LearningUofT -- Deep GenAI Course -- Summer25Notes
  2. UofT GenAI Course -- Lecture 13: Explicit Distribution Learning - SamplingUofT -- Deep GenAI Course -- Summer25Notes
  3. UofT GenAI Course -- Lecture 12: Naive Bayes -- Most Basic Generative ModelUofT -- Deep GenAI Course -- Summer25Notes
  4. UofT GenAI Course -- Lecture 11: Discriminative vs Generative LearningUofT -- Deep GenAI Course -- Summer25Notes
  5. UofT GenAI Course -- Lecture 10: Generic Problem of Data Generation -- Basic DefinitionsUofT -- Deep GenAI Course -- Summer25Notes
  6. UofT GenAI Course -- Lecture 9: Prompt Design for Task-specific Sampling from LLMsUofT -- Deep GenAI Course -- Summer25Notes
  7. UofT GenAI Course -- Lecture 8: Statistical View on Fine-Tuning and LoRAUofT -- Deep GenAI Course -- Summer25Notes
  8. UofT GenAI Course -- Lecture 7: Pre-training and Fine-tuningUofT -- Deep GenAI Course -- Summer25Notes
  9. UofT GenAI Course -- Lecture 6: Examples of LLMs -- Size, Data and Practical ConsiderationsUofT -- Deep GenAI Course -- Summer25Notes
  10. UofT GenAI Course -- Lecture 4: Extracting Language Context by Self-AttentionUofT -- Deep GenAI Course -- Summer25Notes
  11. UofT GenAI Course -- Lecture 5: LMs -- Transformer-based LMsUofT -- Deep GenAI Course -- Summer25Notes
  12. UofT GenAI Course -- Lecture 2: LMs -- Definition and Basic Bi-Gram ModelUofT -- Deep GenAI Course -- Summer25Notes
  13. UofT GenAI Course -- Lecture 3: Context-Aware LMs --Recurrent LMsUofT -- Deep GenAI Course -- Summer25Notes
  14. UofT GenAI Course -- Lecture 1: LMs -- Tokenization and EmbeddingUofT -- Deep GenAI Course -- Summer25Notes
  15. UofT GenAI Course -- Lecture 0: Course Overview and LogisticsUofT -- Deep GenAI Course -- Summer25Notes

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