small language models

MIT researchers demonstrated that a small AI model can outperform the largest models at querying tasks while operating at 1% of the cost using the game Battleship as a training framework. Efficiency gains in AI inference reduce computational overhead and expand deployment possibilities for resource-constrained applications.