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Related Questions
- What is the concept of 'hallucination' in the context of large language models (LLMs)?
- How do LLMs 'hallucinate' when encountering unknown concepts?
- Can you provide examples of how LLMs may 'hallucinate' when faced with unfamiliar information?
- What are the potential causes of 'hallucination' in LLMs, particularly when dealing with unknown concepts?
- How do researchers and developers address 'hallucination' in LLMs to improve their performance and accuracy?
- In what ways can 'hallucination' in LLMs impact the quality of output, especially when dealing with complex or ambiguous topics?
- Can you describe the relationship between 'hallucination' and other LLM limitations, such as overconfidence or inconsistency?
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