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 pre-training a language model influence its bias towards certain social groups or topics?
- What are some common methods for detecting bias in pre-trained language models, and how can they be addressed?
- Can fine-tuning a pre-trained language model on a specific dataset introduce new biases or reinforce existing ones?
- How does the quality and diversity of the training data affect the accuracy and fairness of a language model?
- What is the relationship between overfitting and bias in language models, and how can they be mitigated?
- Can transfer learning from pre-trained models to new domains or tasks exacerbate existing biases, and how can this be addressed?
- What are some strategies for debiasing language models, such as data augmentation or adversarial training?
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