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Related Questions
- How do large language models handle ambiguity in user input when it's outside their domain of expertise?
- What techniques can be used to detect when a text generation model is producing nonsensical or irrelevant output?
- Can you explain the concept of 'hallucination' in the context of text generation models and how it relates to out-of-domain context?
- What role does knowledge graph-based reasoning play in improving a model's ability to handle out-of-domain context?
- How do you incorporate common sense reasoning into a text generation model to mitigate out-of-domain context issues?
- What are some strategies for fine-tuning a pre-trained language model to improve its performance on out-of-domain tasks?
- Can you describe a scenario where a model's inability to handle out-of-domain context leads to a significant decrease in performance, and how it could be addressed?
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