Fine-Tuning
Leverage Learning
Introduced by Zeng et al. in Token-Efficient Leverage Learning in Large Language ModelsLeverage learning suggests that it is possible to strategically use minimal task-specific data to enhance task-specific capabilities, while non-specific capabilities can be learned from more general data.
Source: Token-Efficient Leverage Learning in Large Language ModelsPapers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
