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Related Questions
- What are the primary goals of generative and discriminative large language models?
- How do generative models generate text, and what are their applications?
- What is the key difference between generative and discriminative models in terms of training data and objectives?
- Can you explain the concept of autoregressive vs. autoregressive models in the context of large language models?
- How do discriminative models handle multiple classes or labels in text classification tasks?
- What are some common evaluation metrics used to assess the performance of generative large language models?
- How do generative models handle out-of-vocabulary words during text generation?
- Can you discuss the trade-offs between generative and discriminative models in terms of training data requirements and computational resources?
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