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 noisy or incomplete training datasets impact the accuracy of language models?
- What are the consequences of using biased or unbalanced training data on language model performance?
- Can partial or missing data in the training set lead to overfitting or underfitting in language models?
- How do noisy datasets affect the generalizability of language models across different domains or tasks?
- What strategies can be employed to mitigate the effects of noisy or incomplete training datasets on language model performance?
- Can you explain the relationship between data quality and language model performance in terms of metrics such as perplexity or ROUGE score?
- How do language models handle out-of-vocabulary words or unseen entities in the training dataset, and what are the implications for their performance?
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