Introduction
All AI models are built on data collected from a wide range of sources, including vast internet repositories. The real challenge is not just gathering this raw information, but extracting its value. Thanks to Data labeling and neural network architectures, significant progress has been made in turning unstructured data into intelligent models.
Data is gold. As AI models parse all kinds of data from numerous sources, a model fed with more descriptive data, will perform better. We’ll talk about what metadata is and how this data about data increases AI efficiency.
