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Related Questions
- What are the common evaluation metrics used for text generation models, and how do they impact the testing process?
- How do evaluation metrics such as perplexity, BLEU score, and ROUGE score influence model selection and deployment?
- What are the implications of using automated metrics versus human evaluation for text generation models?
- How can evaluation metrics affect the trade-off between fluency and factual accuracy in text generation models?
- What role do evaluation metrics play in determining the optimal hyperparameters for text generation models?
- How do evaluation metrics impact the deployment of text generation models in real-world applications, such as chatbots and language translation systems?
- What are the challenges in using evaluation metrics to compare text generation models across different domains and datasets?
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