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 data curation and preprocessing affect the presence of biases in language models?
- Can debiasing techniques such as data augmentation and adversarial training improve the fairness of language models?
- What role does the choice of algorithm and architecture play in minimizing biases in language models?
- Can explicit bias mitigation techniques like regularizers and fairness constraints be used to reduce biases in language models?
- How do pre-training objectives and fine-tuning protocols impact the presence of biases in language models?
- Can transfer learning and multi-task learning be used to mitigate biases in language models?
- What are the challenges and limitations of designing and training unbiased language models, and how can they be addressed?
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