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Related Questions
- What are the key techniques used by large language models to capture long-range dependencies in text data?
- Can you explain how self-attention mechanisms help large language models understand contextual relationships between words in a sentence?
- How do large language models handle nested dependencies and nested context in complex sentences?
- What is the role of recurrence and recurrence-based models in handling long-range dependencies in text data?
- How do large language models use memory-augmented architectures to improve their ability to capture contextual relationships?
- What are the challenges of modeling long-range dependencies in large language models, particularly in cases of ambiguity and uncertainty?
- Can you describe the difference between local and global contextualization in large language models and how they impact long-range dependency handling?
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