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
- How do you assess the presence of biases in language models, and what metrics are used to quantify them?
- Can you explain the difference between intentional and unintentional biases in language models, and how they are addressed?
- What are some common sources of bias in language models, such as data, algorithms, or human annotation?
- How do you evaluate the fairness of language models, and what are some popular fairness metrics used?
- Can you discuss the trade-offs between model performance and fairness in language models, and how to balance them?
- What are some techniques for debiasing language models, such as data preprocessing, algorithmic modifications, or retraining?
- How do you measure the effectiveness of debiasing techniques, and what are some common challenges encountered?
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