Natural Language Generation aka NLG models are designed to generate human-like text and are trained on vast datasets. They have become integral to various applications, from chatbots and virtual assistants to content generation and data summarization. Data annotation in the context of NLG involves labeling or marking data to...
We are well aware of how the world is changing with the arrival and development of artificial intelligence. Sectors like education, healthcare, and even automobiles are now utilizing the new industry. Data annotation is thus playing a major role in making transportation safer and more convenient than ever. Accurate...
In today’s rapidly advancing healthcare sector, data plays a pivotal role in medical research, diagnosis, and treatment. Medical imaging, in particular, has seen remarkable advancements with the introduction of technologies such as MRI, CT scans, and ultrasound. In healthcare, data annotation is used to enhance the quality of data...
Data Annotation Quality Control: Strategies for Ensuring Accuracy In the realm of artificial intelligence and machine learning, the quality of training data is paramount. The accuracy and reliability of models heavily depend on the quality of annotated data used during the training process. Data annotation, the process of labeling...