This episode explores a system for evaluating the performance of different AI models using a more advanced AI as a judge. The host describes an architecture where a top-tier AI, currently O1 Preview, assesses the output of another AI, such as GPT-3.5 Turbo, on a given task like analyzing a blog post. More significantly, the judging AI rates the performance on a scale ranging from "uneducated" to "superhuman," providing a relative assessment of the AI's capabilities. For instance, less capable models scored at the high school to bachelor's level, while more advanced models reached master's or even world-class human levels. The host details the intricate prompt engineering involved, including instructions for the judging AI to deeply analyze the input, instructions, and output, mimicking a human expert's evaluation process. The system also generates insights into what would be needed to achieve higher performance levels. Ultimately, this system aims to provide a more nuanced understanding of AI capabilities and facilitates iterative improvements through feedback and refinement.
