AI agents are becoming increasingly powerful in a range of domains. However, to truly excel, these agents often require specialized understanding within niche fields. This is where domain expertise plays. By integrating data tailored to a specific domain, we can improve the performance of AI agents and enable them to address complex problems with g
Exploring Data Annotation for Machine Learning Success
Data annotation is the foundation of machine learning. It involves labeling data with relevant information to train algorithms. Without high-quality annotations, machine learning models can't effectively learn and function. There are various types of data annotation, each serving a distinct purpose. These include audio annotation, sentiment analys