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Related Questions
- What are the key differences between prompt chaining and traditional prompting in natural language generation tasks?
- How does prompt chaining improve the accuracy and coherence of generated text in text summarization tasks?
- Can you provide examples of effective prompt chaining strategies for question-answering tasks, such as using multi-step prompts or chaining related questions?
- What are some common challenges or limitations of prompt chaining in natural language generation, and how can they be addressed?
- How does prompt chaining compare to other techniques, such as reinforcement learning or adversarial training, in improving the quality of generated text?
- What role does prompt engineering play in the success of prompt chaining in natural language generation tasks, and how can it be improved?
- Can you explain the relationship between prompt chaining and the concept of 'contextual understanding' in natural language generation, and how it can be measured?
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