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 language models handle incomplete or missing information in their training data?
- What is the concept of 'unknown' in language models, and how do they represent it?
- How do language models handle ambiguity and uncertainty when encountering unknown information?
- What strategies do language models use to fill knowledge gaps or handle missing information?
- How do language models determine the likelihood of a piece of information being correct or incorrect when it's not present in their training data?
- Can language models learn from user feedback to improve their handling of unknown information?
- How do language models balance the trade-off between providing accurate information and avoiding 'unknown' or 'missing' responses?
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