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Related Questions
- What are the potential consequences of over-refining a large language model, and how can it impact its performance and generalizability?
- How can over-refining an LLM lead to overfitting, and what are the effects on its ability to learn from new data?
- What are some signs that an LLM has been over-refined, and how can they be identified before it's too late?
- Can over-refining an LLM lead to a loss of creativity and originality in its output, and how can this be mitigated?
- How can the trade-off between refinement and generalizability be balanced in the training process, and what are some strategies for achieving this balance?
- What are some techniques for detecting over-refining in LLMs, and how can they be used to prevent it from occurring?
- Can over-refining an LLM lead to a decrease in its ability to handle out-of-distribution data, and how can this be addressed?
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