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 that can affect AI system performance and fairness?
- How can data preprocessing and curation impact the fairness of an AI model?
- What are some techniques for detecting fairness biases in AI systems, such as bias detection tools or auditing methods?
- What are some strategies for mitigating bias in AI systems, such as debiasing techniques or fairness-aware training methods?
- How can fairness be evaluated in AI systems, and what metrics or frameworks can be used for this purpose?
- What are some challenges in testing and evaluating the fairness of AI systems, such as dataset limitations or lack of clear definitions?
- Can fairness and accuracy be trade-offs in AI system design, and if so, how can this trade-off be optimized?
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