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Related Questions
- What are the key components of a transformer architecture in large language models?
- How do transformer-based models handle sequential data compared to RNNs?
- What are the advantages of using self-attention mechanisms in transformer models?
- Can you explain the concept of parallelization in transformer models and how it improves performance?
- How do RNNs handle long-term dependencies in sequential data, and what are their limitations?
- What is the role of the encoder and decoder in transformer-based models, and how do they differ from RNNs?
- What are some common applications of transformer-based models in natural language processing tasks?
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