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Related Questions
- What are some common techniques for data curation and filtering to select the optimal subset of training data for fine-tuning a text generation model?
- How can domain-specific knowledge graphs be used to identify relevant training data for fine-tuning a text generation model?
- What is the role of active learning in selecting the optimal subset of training data for fine-tuning a text generation model?
- Can you explain the concept of data augmentation and its application in selecting the optimal subset of training data for fine-tuning a text generation model?
- How can transfer learning be used to leverage pre-trained models and select the optimal subset of training data for fine-tuning a text generation model?
- What are some techniques for evaluating the quality and relevance of the selected subset of training data for fine-tuning a text generation model?
- Can you discuss the trade-offs between data quantity and data quality in selecting the optimal subset of training data for fine-tuning a text generation model?
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