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Related Questions
- What techniques can be used to increase the contextual understanding of conversational AI models when dealing with long-form conversations?
- How can the attention mechanism in transformer-based models be adapted to better handle long-range dependencies in conversations?
- What are some strategies for mitigating the impact of attention span limitations on the coherence and accuracy of conversational AI responses?
- Can you discuss the role of multi-hop attention and its potential benefits in improving contextual understanding in conversational AI models?
- What are some current challenges in addressing the limited attention span of conversational AI models, and how can they be overcome?
- How can the use of external knowledge sources, such as knowledge graphs, be leveraged to improve the contextual understanding of conversational AI models?
- What are some experimental methods for evaluating the effectiveness of different attention mechanisms in improving contextual understanding in conversational AI models?
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