Enhancing the Reasoning Capabilities of Smaller Large Language Models through Cognitive Strategies

Cognitive enhancement strategies, such as task decomposition and self-reflection, can significantly improve the performance of Smaller Large Language Models in complex reasoning and decision-making tasks, making them more suitable for cybersecurity applications like log analysis and anomaly detection.