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 are the common strategies used by large language models to handle out-of-vocabulary words?
- How do large language models deal with typos and mispellings in user input?
- Can you explain the concept of subword modeling and its role in handling out-of-vocabulary words?
- What is the difference between out-of-vocabulary words and unknown words, and how do large language models handle them?
- How do large language models use context to disambiguate words with multiple meanings or typos?
- What are the implications of handling out-of-vocabulary words and typos on the overall performance of large language models?
- Can you provide examples of techniques used to handle out-of-vocabulary words and typos in large language models, such as character-level modeling or tokenization?
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