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Related Questions
- How does the encoder-decoder architecture improve the performance of large language models in tasks such as machine translation and text summarization?
- What are the key components of an encoder-decoder architecture, and how do they interact to generate human-like text?
- Can you explain the difference between an encoder-decoder architecture and a transformer architecture in the context of large language models?
- How does the encoder-decoder architecture handle out-of-vocabulary words and rare word phenomena in large language models?
- What is the role of attention mechanisms in the encoder-decoder architecture, and how do they aid in capturing contextual dependencies?
- Can you discuss the trade-offs between the encoder-decoder architecture and other architectures, such as the transformer architecture, in terms of computational efficiency and performance?
- How does the encoder-decoder architecture enable the generation of coherent and contextually relevant text in large language models?
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