Study Reveals Why Larger Language Models Outperform Smaller Ones

New research indicates that larger language models acquire skills more effectively because frequent tasks don't overwrite their learning as much as in smaller models. The study suggests that increasing training data or refining the learning process, rather than solely scaling up model size, could be key to improving AI performance.