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 can data preprocessing techniques, such as normalization and feature scaling, impact model performance and introduce bias?
- What are some common sources of bias in data collection, and how can they be identified and mitigated?
- Can you explain the concept of representation bias and how it can affect the performance of machine learning models?
- How can dataset curation and validation help prevent bias in machine learning models?
- What is the role of human evaluators in detecting and mitigating bias in machine learning models?
- Can you discuss the importance of data diversity and how it can impact model performance and fairness?
- How can machine learning models be designed to handle imbalanced datasets and prevent bias towards the majority class?
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