Small Transformers Show Phase Transition Behavior

This ArXiv paper suggests intriguing findings regarding phase transitions in smaller language models, potentially impacting our understanding of how these models scale. The research could influence future model architectures and training strategies.

• •Identifies phase transition behavior in small transformer models.
• •Potentially provides insights into scaling and performance.
• •Could inform the design of more efficient and effective models.