Alapfogalmak
Solo Performance Prompting (SPP) enhances cognitive synergy in Large Language Models (LLMs) by engaging in multi-turn self-collaboration with multiple personas.
Statisztikák
Unlike humans, who can leverage the power of collaboration and information integration among different cognitive processes and individuals, current LLMs are akin to "jack-of-all-trades" with a vast mixture of knowledge and characteristics.
Recent advancements, such as Chain-of-Thought (CoT) prompting and Self-refinement, have successfully enhanced the reasoning abilities of LLMs by simulating slow-thinking through the generation of intermediate steps or iterative revision.
Cognitive synergy only emerges in GPT-4 and does not appear in less capable models, such as GPT-3.5-turbo and Llama2-13b-chat.
Idézetek
"Human intelligence thrives on cognitive synergy, where collaboration among different minds yield superior outcomes compared to isolated individuals."
"Solo Performance Prompting (SPP) transforms a single LLM into a cognitive synergist by engaging in multi-turn self-collaboration with multiple personas."
"SPP unleashes the potential of cognitive synergy in LLMs by dynamically identifying and simulating different personas based on task inputs."