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Related Questions
- How do you train a language model to recognize and generate new or previously unseen words?
- What is the performance of a language model like in cases where the target text contains rare or idiosyncratic terminology?
- How do OOV words impact the model's ability to generate coherent and relevant text?
- What strategies do language model developers use to handle the phenomenon of OOV words in real-world applications?
- Can you provide an example of a real-world scenario where OOV word handling was a major concern for language model builders?
- How effective is transfer learning in assisting a language model to identify and process previously unseen expressions and concepts?
- In what ways do model parameters and data pretraining play a role in affecting OOV word detection, identification, and response creation by language models?
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