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Related Questions
- What are the key techniques used by large language models to store and retrieve world knowledge?
- How do LLMs leverage knowledge graphs and databases to improve contextual understanding?
- What role do entity recognition and disambiguation play in enabling LLMs to grasp complex language contexts?
- Can you explain the concept of contextualization in LLMs and its impact on world knowledge integration?
- How do LLMs handle out-of-vocabulary words and phrases, and what strategies do they employ to incorporate new knowledge?
- What is the relationship between LLMs' training data, knowledge graphs, and their ability to understand complex contexts?
- How do LLMs utilize transfer learning to adapt to new domains and tasks, and what implications does this have for world knowledge integration?
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