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Related Questions
- What are the key differences between named entity recognition (NER) and intent detection in the context of contextual prompts?
- How do NER and intent detection models handle ambiguity and uncertainty in contextual prompts?
- Can you provide examples of NER and intent detection in action, and how they are used in real-world applications?
- How do contextual prompts impact the performance of NER and intent detection models, and what are some best practices for designing effective prompts?
- What are some common challenges and limitations of NER and intent detection in the context of contextual prompts, and how can they be addressed?
- How do NER and intent detection models handle out-of-vocabulary words and phrases in contextual prompts?
- Can you explain the role of pre-training and fine-tuning in NER and intent detection models, and how they are used in the context of contextual prompts?
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