ML & Human Consensus: The Best of Both Worlds

This content appears to be a placeholder for an article about combining machine learning with human consensus. Based on the title, it would likely discuss how integrating human judgment and agreement into ML workflows can improve data quality and model performance. This hybrid approach leverages the scalability of machines and the nuanced understanding of humans to create more robust AI systems. The goal is to achieve the best of both worlds for tasks like data annotation and model evaluation.