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GitHub topics: stacking-llm

egesualp/growth-vs-forgetting

This repository contains the implementation and experiments for comparing gradual growth methods, specifically the G_stack approach, with naive models trained from scratch. The project focuses on addressing catastrophic forgetting and improving model performance in continuous learning scenarios.

Language: Shell - Size: 21 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0