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
- What are some common biases in language models that can affect fairness and accuracy?
- How can you use techniques like data preprocessing and feature engineering to improve the fairness and accuracy of prompts and outputs?
- What are some metrics or evaluation methods to assess the fairness and accuracy of language models?
- Can you explain the concept of 'explainability' in the context of language models and how it relates to fairness and accuracy?
- How can you use techniques like debiasing and regularizing to improve the fairness and accuracy of language models?
- What are some challenges in validating the fairness and accuracy of language models, especially in real-world applications?
- Can you discuss the importance of human evaluation in assessing the fairness and accuracy of language models?
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