Small Language Models Outperform Larger Language Models

In the evolving landscape of artificial intelligence, recent research from the Shanghai AI Laboratory reveals a surprising twist: very small language models (SLMs) may excel in reasoning tasks compared to their larger counterparts.With just 1 billion parameters, an SLM can outperform a colossal 405 billion parameter large language model (LLM) on complex math benchmarks, thanks to innovative test-time scaling (TTS) techniques.