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Related Questions
- What is prompt chaining and how does it work in the context of data annotation?
- Can you explain the benefits of using prompt chaining for data annotation, such as increased efficiency and accuracy?
- How does prompt chaining improve the quality of training data, and what are the potential consequences of poor quality training data?
- What are some common use cases for prompt chaining in data annotation, such as annotating medical images or text data?
- How can prompt chaining be used to reduce the cost and time associated with data annotation, and what are the potential trade-offs?
- What are some best practices for implementing prompt chaining in data annotation, such as selecting the right sequence of prompts and evaluating the results?
- Can you provide an example of how prompt chaining can be used to annotate a dataset, such as annotating a medical image with a sequence of prompts?
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