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Related Questions
- How does suboptimal tokenization affect the quality of generated text in data augmentation?
- Can suboptimal tokenization lead to biased or incomplete training data, impacting model fairness and accuracy?
- What are the consequences of suboptimal tokenization on model interpretability and explainability?
- How does suboptimal tokenization impact the performance of models on downstream tasks, such as sentiment analysis or language translation?
- What are some common pitfalls in tokenization that can lead to suboptimal results in data augmentation?
- Can suboptimal tokenization affect the ability of models to generalize to new, unseen data?
- What are some strategies for mitigating the effects of suboptimal tokenization on data augmentation and model effectiveness?
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