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Related Questions
- What are the key differences between supervised and unsupervised learning in the context of language models?
- How do training objectives such as maximum likelihood estimation and reinforcement learning impact the ability of language models to capture nuances in text?
- Can you explain the concept of contextual understanding in language models and how it relates to the training objectives?
- How do language models handle ambiguity and uncertainty in text, and what role do training objectives play in this process?
- What is the relationship between training objectives and the ability of language models to generate coherent and contextually relevant text?
- How do language models learn to capture idiomatic expressions and figurative language, and what impact do training objectives have on this ability?
- Can you discuss the trade-offs between training objectives such as fluency, coherence, and accuracy in language models, and how they influence the ability to capture nuances and context in text generation?
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