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Related Questions
- What are the key differences between supervised and unsupervised learning objectives in language models?
- How do contrastive learning objectives, such as masked language modeling, impact the ability of models to capture nuances of language?
- Can you explain the role of reinforcement learning objectives, such as next sentence prediction, in improving language model performance?
- How do different evaluation metrics, such as perplexity and ROUGE, influence the training objectives of language models?
- What are the implications of using self-supervised learning objectives, such as language modeling, on the ability of models to capture idioms and figurative language?
- Can you discuss the impact of pre-training objectives, such as predicting next tokens, on the ability of models to generalize to unseen language data?
- How do multi-task learning objectives, such as predicting multiple language tasks simultaneously, affect the ability of models to capture nuances of language?
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