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Related Questions
- How do pre-trained language models handle out-of-vocabulary words in conversational AI?
- What is the difference between self-supervised and supervised pre-training in contextual conversation models?
- Can fine-tuning a pre-trained model on a specific dataset improve its performance on unseen conversational tasks?
- How does the pre-training phase impact the overall quality and consistency of conversational AI outputs?
- What are some common strategies for fine-tuning a pre-trained model to achieve state-of-the-art results in contextual conversation?
- How can pre-trained models be adapted for cross-lingual conversational AI tasks, such as dialogue systems for multiple languages?
- What role does the fine-tuning phase play in addressing task-specific requirements, such as intent recognition and response generation?
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