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Related Questions
- How does pre-training a large language model impact its ability to recognize out-of-vocabulary words or phrases in intent-based prompt engineering?
- What is the significance of fine-tuning a pre-trained language model for specific tasks in improving its performance with out-of-vocabulary words or phrases?
- Can you explain the concept of domain adaptation in the context of fine-tuning a pre-trained model for intent-based prompt engineering?
- How does the size of the pre-training corpus affect the model's ability to handle out-of-vocabulary words or phrases?
- What role does the type of pre-training objective play in improving the model's ability to recognize out-of-vocabulary words or phrases?
- Can you discuss the trade-offs between pre-training and fine-tuning in terms of computational resources and model performance?
- How can the use of masked language modeling as a pre-training objective help improve the model's ability to handle out-of-vocabulary words or phrases?
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