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Related Questions
- How can human evaluators provide feedback on the relevance and accuracy of language model outputs in iterative testing and refinement of prompts?
- What types of tasks and scenarios are best suited for human evaluation in the development process of large language models?
- Can you describe the different stages at which human evaluation can be incorporated into the development process, from prompt engineering to model deployment?
- What are some common challenges or limitations of human evaluation in the development process, and how can they be addressed?
- How can human evaluation be used to identify and mitigate potential biases in language models, and what are some best practices for doing so?
- Can you provide examples of successful applications of human evaluation in the development of conversational AI systems, such as chatbots or virtual assistants?
- What are some tools or methodologies that can facilitate the effective incorporation of human evaluation into the development process, and what are their benefits and limitations?
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