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Related Questions
- What are the key challenges in training language models to capture long-term dependencies in sequential data?
- How do transformer-based architectures address the issue of long-range dependencies in sequential data?
- What is the role of attention mechanisms in enabling language models to learn long-term dependencies?
- What are some common techniques used to handle the vanishing gradient problem when training language models on long-term dependencies?
- Can you explain the concept of positional encoding in the context of learning long-term dependencies in sequential data?
- How do recurrent neural networks (RNNs) compare to transformer-based models in terms of handling long-term dependencies?
- What are some strategies for pre-training language models on continuous input streams, such as videos or audio, to learn long-term dependencies?
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