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Related Questions
- What are the implications of using different entity representations on the overall performance of the LLM?
- How does the choice of entity representation impact the alignment between the input and output of the LLM?
- Can you explain the relationship between entity representation and the accuracy of the LLM's predictions?
- What are some common entity representations used in LLMs and their advantages and disadvantages?
- How does the choice of entity representation affect the interpretability of the LLM's outputs?
- What are some techniques for selecting the optimal entity representation for a given LLM task?
- Can you discuss the trade-offs between entity representation and other LLM design choices, such as model size and training data?
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