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Related Questions
- What are some common techniques used to fine-tune large language models for figurative language tasks?
- How can data augmentation be used to improve LLMs' performance on figurative language tasks?
- What is the impact of pre-training on the fine-tuning process for figurative language tasks?
- What are some strategies for selecting the most relevant data for fine-tuning LLMs on figurative language tasks?
- Can you explain the differences between supervised and unsupervised fine-tuning for figurative language tasks?
- How does the choice of optimizer and learning rate affect the fine-tuning process for figurative language tasks?
- What are some common evaluation metrics used to assess the performance of fine-tuned LLMs on figurative language tasks?
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