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Related Questions
- How do language understanding and generation capabilities differ across various training objectives, such as supervised, unsupervised, and reinforcement learning?
- What are the trade-offs between maximizing likelihood and minimizing perplexity in language model training?
- How do different training objectives impact the ability of models to capture nuances of language, such as idioms and figurative language?
- What are the implications of using task-agnostic versus task-specific training objectives on language model performance?
- How do the trade-offs between language understanding and generation capabilities vary across different NLP tasks, such as text classification and machine translation?
- What are the key factors that influence the choice of training objective for a given NLP task or application?
- How do the trade-offs between language understanding and generation capabilities change as models become increasingly large and complex?
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