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Related Questions
- What are the key components of a language model's architecture that enable it to learn grammar?
- How do LLMs learn to recognize and generate grammatical structures such as subject-verb agreement and tense consistency?
- Can you explain the role of tokenization and part-of-speech tagging in LLMs' ability to recognize grammar?
- What is the relationship between language model training data and the accuracy of grammatical generation?
- How do LLMs handle ambiguity and uncertainty in grammar, such as in cases of subject-verb agreement with multiple possible antecedents?
- What are some common techniques used to fine-tune LLMs for specific grammatical tasks, such as punctuation and capitalization?
- Can you discuss the trade-offs between language model complexity and the quality of grammatical generation?
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