AI agents are becoming increasingly powerful in a range of domains. However, to truly excel, these agents often require specialized understanding within specific fields. This is where domain expertise plays. By infusing data tailored to a defined domain, we can boost the accuracy of AI agents and enable them to solve complex problems with greater f
Exploring Data Annotation for Machine Learning Success
Data annotation is the foundation of machine learning. It involves labeling data with accurate information to train algorithms. Without high-quality annotations, machine learning models can't accurately learn and operate. There are various types of data annotation, each serving a specific purpose. These include text annotation, sentiment analysis,