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Related Questions
- What is the primary function of pre-training in large language models for text summarization and information retrieval?
- How does fine-tuning a pre-trained language model improve its performance in text summarization and information retrieval tasks?
- What is the difference between pre-training and fine-tuning, and why are both steps necessary for large language model development?
- Can you explain the importance of large-scale pre-training datasets for fine-tuning language models for text summarization and information retrieval?
- How does the choice of pre-training objective and fine-tuning objective impact the performance of a language model for text summarization and information retrieval?
- What are some common techniques used for fine-tuning large language models for text summarization and information retrieval, and what are their advantages and limitations?
- How can the performance of a fine-tuned language model be evaluated for text summarization and information retrieval tasks, and what metrics are commonly used for this purpose?
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