AI agents are becoming increasingly sophisticated in a range of applications. However, to truly excel, these agents often require specialized knowledge within niche fields. This is where domain expertise plays. By infusing data tailored to a particular domain, we can improve the effectiveness of AI agents and enable them to address complex problems
Demystifying Data Annotation for Machine Learning Success
Data annotation is the backbone of machine learning. It involves labeling data with specific information to guide algorithms. Without high-quality annotations, machine learning models can't efficiently learn and perform. There are various types of data annotation, each serving a unique purpose. These include image annotation, sentiment analysis, a