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Related Questions
- What are the primary objectives of pre-training in text generation models?
- Can you elaborate on the role of pre-training in building contextual understanding?
- How does fine-tuning a pre-trained model contribute to its ability to generate coherent text?
- What are the key differences between pre-training and fine-tuning in the context of text generation models?
- How do pre-trained models learn to capture contextual relationships and dependencies?
- What is the significance of fine-tuning in adapting pre-trained models to specific domains or tasks?
- Can you provide examples of how pre-training and fine-tuning are used in real-world text generation applications?
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