Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- Can you explain how you typically prioritize data quality and sample size when selecting data points for human evaluation?
- How can you assess the trade-offs between comprehensive data coverage and the limited resources available for human evaluators?
- In what ways do you involve stakeholders or end-users in the process of evaluating the data points, especially in situations where direct involvement may be impractical?
- Can you walk through your process for creating realistic scenarios or thought experiments that mimic real-world scenarios but are more efficient and less resource-intensive than collecting large datasets?
- Have you explored or experimented with any novel methodologies for simulating human-like decision-making or behavior when it comes to evaluating the accuracy and representativeness of AI models?
- Do you have best practices for adapting your approach to address domain-specific considerations and avoid bias in evaluation frameworks for complex AI models?
- Can you outline potential strategies for continually re-calibrating evaluation procedures and human evaluation as your dataset evolves and learns, effectively integrating new patterns or signals that emerge with increased domain knowledge?
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