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 occur in language models trained on large datasets?
- How can data curation and preprocessing impact the performance and fairness of a model?
- What are some strategies for detecting and mitigating biases in model outputs?
- Can you explain the concept of 'data drift' and how it can affect model performance over time?
- How do different data sampling techniques (e.g. stratified sampling, oversampling) impact model fairness and accuracy?
- What are some limitations of using large language models for tasks that require nuanced understanding and context?
- How can prompt engineering be used to mitigate biases and improve model performance?
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