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 is feature attribution and how does it improve model interpretability?
- Can you explain the concept of saliency maps and their role in model interpretability?
- How do techniques like partial dependence plots and SHAP values enhance model interpretability?
- What are the trade-offs between model performance and interpretability, and how can they be balanced?
- How does model-agnostic interpretability differ from model-specific interpretability?
- Can you describe the process of creating a model-agnostic explanation using techniques like LIME and Anchors?
- What are some common challenges when applying model interpretability techniques to complex models like deep neural networks?
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