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 learn to generate text that is relevant to a specific context or topic?
- How do LLMs handle cases where the input text contains multiple entities or concepts not present in their training data?
- What techniques are used to represent unknown entities in a way that can be understood by the LLM?
- Can LLMs be fine-tuned to handle out-of-vocabulary words, and if so, how?
- How do LLMs handle ambiguous or context-dependent words with multiple possible meanings?
- What is the impact of tokenization on the performance of LLMs in handling out-of-vocabulary words?
- Can LLMs be designed to learn from user feedback to improve their handling of unknown entities and out-of-vocabulary words?
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