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Related Questions
- What are the key differences between active learning and passive learning in large language models?
- How can prompt engineering be used to create tasks that are more interpretable and transparent in large language models?
- What are some strategies for selecting the most informative training data for active learning with large language models?
- How can humans and AI systems collaborate during active learning to improve large language model interpretability?
- What is the role of feedback loops in active learning for improving large language model interpretability?
- What are some techniques for generating diverse and informative prompts that can be used for prompt engineering in large language models?
- Can you provide an example of how active learning and prompt engineering can be used to improve the interpretability of a specific large language model application, such as conversational AI or text generation?
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