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Related Questions
- Can large language models handle cold start problems when learning correlations between items with sparse interaction data?
- What techniques are used by large language models to infer correlations between items when interaction data is limited or missing?
- How do large language models balance the trade-off between capturing item correlations and avoiding overfitting when working with sparse interaction data?
- What role does dimensionality reduction play in helping large language models learn correlations between items with sparse interaction data?
- Can large language models leverage transfer learning to improve their ability to learn correlations between items with sparse interaction data?
- How do large language models handle the issue of item ambiguity when learning correlations between items with sparse interaction data?
- What are some common challenges faced by large language models when learning correlations between items with sparse interaction data, and how can they be addressed?
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