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Related Questions
- What are the advantages of pre-training large language models on a general domain and fine-tuning them on a specific task?
- How does transfer learning enable large language models to adapt to different tasks and domains with less training data?
- What are some common applications of transfer learning in large language models, such as text classification, sentiment analysis, and language translation?
- How does transfer learning improve the efficiency and speed of training large language models, compared to training from scratch?
- What are some potential challenges and limitations of transfer learning in large language models, such as overfitting and domain mismatch?
- Can transfer learning be used to improve the performance of large language models on out-of-domain data, such as unseen text or tasks?
- How does the choice of pre-training and fine-tuning objectives impact the effectiveness of transfer learning in large language models?
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