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
- Can model-agnostic techniques, such as SHAP or LIME, be used to identify biases in text-based summarization models?
- How can model-agnostic techniques help to explain the biases present in text-based summarization models?
- Are there any limitations to using model-agnostic techniques for bias detection in text-based summarization models?
- Can model-agnostic techniques be used to identify biases in specific components of text-based summarization models, such as the attention mechanism or the language model?
- How do model-agnostic techniques compare to model-specific techniques, such as bias mitigation techniques, in identifying biases in text-based summarization models?
- Can model-agnostic techniques be used to explain biases in text-based summarization models that are caused by data biases?
- Are there any challenges or difficulties in applying model-agnostic techniques to text-based summarization models, and how can they be addressed?
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