The Constructive Lie: Why Telling Your LLM the Wrong Answer Makes It Smarter

Author(s): Adham Khaled Originally published on Towards AI. Stop asking your AI to “think step-by-step.” Start asking it, “Why is this wrong?” We have all been there. You ask an LLM a complex logic question. It starts confidently. Step 1 looks good. Step 2 is plausible. But by Step 3, it has made a tiny arithmetic error or a slight logic leap. Source: Research PaperThe article discusses the concept of the “Constructive Lie” and its potential to enhance the reasoning capabilities of smaller AI models by initiating a process of verification rather than direct problem-solving. It explains how utilizing prompts that provide a false answer for the model to verify can improve its logical processing, revealing a simpler and more effective method for achieving accurate outcomes from AI without needing to rely on larger models or extensive training. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI