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Related Questions
- What are the key differences between short-term and long-term memory in the context of language models?
- How can contextualized embeddings, such as BERT, improve a language model's ability to retain information across multiple turns?
- What role do attention mechanisms play in helping language models to focus on relevant information and retain it across multiple turns?
- Can you explain the concept of 'memory-augmented' language models and how they can improve retention of information?
- How do models that use graphs or knowledge graphs to represent knowledge affect a language model's ability to retain information?
- What is the impact of pre-training a language model on a large corpus versus fine-tuning on a specific task on its ability to retain information?
- Can you discuss the effect of using subword representations, such as WordPiece or BPE, on a language model's ability to retain information across multiple turns?
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