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Related Questions
- What techniques can be used to encourage a language model to produce novel and original responses?
- How can you balance the need for context understanding with the desire for creative freedom in language generation?
- What are some strategies for training a language model to generalize beyond the provided data and context?
- How can you use prompt engineering to guide a language model towards more creative and imaginative responses?
- What role does knowledge graph construction play in enabling a language model to generate creative responses?
- Can you discuss the importance of diversity and randomness in language generation and how to incorporate these elements into a language model?
- What are some metrics or evaluation methods for measuring the creativity of a language model's responses?
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