Summary:
- This article discusses a new approach developed by researchers at MIT to enable small language models to solve complex reasoning tasks.
- The researchers used a technique called "prompting" to train small language models to perform well on tasks that typically require large, powerful models.
- By breaking down complex tasks into smaller, more manageable steps and providing the model with appropriate prompts, the researchers were able to achieve impressive results with smaller, more efficient models.