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Related Questions
- What are the primary factors contributing to the limitations of large language models in creating novel and imaginative content?
- How do the training data and algorithms used in large language models impact their ability to generate original ideas?
- Can you explain the concept of 'hallucinations' in large language models and how it affects their creative output?
- What role does the concept of 'overfitting' play in limiting the creativity of large language models?
- Are there any potential solutions or techniques that could help large language models overcome their limitations and produce more imaginative content?
- In what ways do the cognitive biases and limitations of human evaluators influence the development and evaluation of large language models?
- How do the trade-offs between fluency, coherence, and novelty affect the creative output of large language models?
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