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Related Questions
- What are the key differences between transformer-based and non-transformer-based architectures in text generation models?
- How do text generation models handle out-of-vocabulary words, and what techniques are used to handle such cases?
- Can you explain the concept of contextualized embeddings and their role in improving the performance of text generation models?
- What are some common evaluation metrics used to measure the quality of generated text in technical writing?
- How do text generation models handle nuances of human language, such as idioms, sarcasm, and figurative language?
- What are the trade-offs between fluency, coherence, and factual accuracy in text generation models for technical writing?
- Can you discuss the role of pre-training and fine-tuning in the development of text generation models for technical writing?
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