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 types of adversarial attacks can be used to evaluate a large language model's robustness?
- How can you use gradient-based methods to assess the model's robustness to input perturbations?
- What is the difference between empirical robustness and certified robustness in the context of large language models?
- Can you describe the process of generating a dataset for robustness evaluation, such as using synthetic data or data augmentation?
- How do you evaluate the robustness of a large language model to out-of-distribution inputs or unseen data?
- What are some common metrics used to evaluate the robustness of a large language model, such as accuracy or loss functions?
- Can you explain the concept of model interpretability and how it relates to evaluating the robustness of a large language model?
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