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Related Questions
- What is the primary objective of fine-tuning a language model and how does it compare to pre-training?
- How do the objectives of fine-tuning a language model differ from the objectives of pre-training a language model?
- What are some common tasks involved in fine-tuning a language model, and how do they contrast with the tasks used during pre-training?
- Can you elaborate on the role of supervision and unsupervised objectives in fine-tuning a language model compared to pre-training?
- In what ways do fine-tuning and pre-training tasks differ in terms of sequence length, complexity, and type?
- How does the choice of task and objective in fine-tuning a language model impact its performance on downstream tasks?
- Are there any specific tasks or objectives that are commonly used for fine-tuning language models, and why are they effective?
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