## Validating AI Responses: A New Approach A growing problem with large language models (LLMs) is the tendency to generate incorrect or misleading responses, often presented with great confidence. To address this challenge, a developer has created an open-source tool that forces five AIs to debate and cross-check facts before providing an answer. ## How it works The platform, available on GitHub, is designed to be self-hosted and aims to solve the problem of blind trust in LLMs. Instead of relying on a single response generated by a model, the tool uses a cross-checking approach between multiple AIs. This debate and fact-checking process is intended to identify and correct any inaccuracies or biases in the responses. The creators invite users to test the platform and provide feedback to further improve its performance and reliability. The goal is to develop a system that can provide more accurate and reliable answers, minimizing the risk of misinformation.