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Related Questions
- What are the key differences between transformer-based models and traditional RNNs in conversational AI?
- How do transformer-based models handle long-range dependencies in conversational data?
- What are the advantages of using self-attention mechanisms in transformer-based models for conversational AI?
- Can you explain the concept of parallelization in transformer-based models and how it improves efficiency?
- How do transformer-based models handle out-of-vocabulary words in conversational data?
- What are the challenges of training large transformer-based models for conversational AI tasks?
- Can you compare the performance of transformer-based models with traditional RNNs on conversational AI benchmarks?
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