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Related Questions
- What is the significance of the training dataset in determining the performance of a language model in text summarization?
- How does the architecture of a transformer-based model contribute to its ability to capture long-range dependencies in text data?
- What are some common techniques used to fine-tune a language model for text summarization tasks?
- How does the choice of hyperparameters in a transformer model affect its performance on summarization tasks?
- What are some challenges in evaluating the quality of text summaries generated by a language model?
- Can you explain the concept of attention mechanisms in transformer models and their role in text summarization?
- How does the size of the training dataset impact the ability of a language model to generalize to unseen text data?
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