AI agents are becoming increasingly capable in a range of applications. However, to truly excel, these agents often require specialized understanding within specific fields. This is where domain expertise plays. By integrating data tailored to a specific domain, we can improve the effectiveness of AI agents and enable them to tackle complex problem… Read More

Data annotation is the crucial element of machine learning. It involves labeling data with specific information to guide algorithms. Without high-quality annotations, machine learning models can't accurately learn and function. There are various types of data annotation, each serving a distinct purpose. These include text annotation, sentiment ana… Read More