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 LLMs perpetuate biases present in their training data, leading to inaccurate explanations?
- How do LLMs handle out-of-date or incomplete information, potentially resulting in misleading explanations?
- Can LLMs over-rely on patterns in their training data, leading to inaccurate explanations for novel or uncertain situations?
- How do LLMs deal with ambiguity or uncertainty in their training data, potentially causing them to generate misleading explanations?
- Can LLMs be influenced by their training objectives, leading to explanations that prioritize accuracy over truth or relevance?
- How do LLMs handle the issue of linguistic ambiguity, potentially resulting in inaccurate or misleading explanations?
- Can LLMs be prone to overfitting or underfitting, leading to explanations that are not generalizable or relevant to the user's question?
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