Why Data is Important for AI
AI models are created through ‘data’ as their raw material. Models need to learn from sufficient, diverse, and high-quality data to produce more accurate and reliable results.
Example: An AI model that classifies images needs to learn a variety of images to properly recognize objects, and natural language processing models also need to learn extensive text data to accurately ‘understand’ context and meaning.
Various types of AI traning data include:
AI models use various forms of data for training, depending on the objectives set by the organizations and individuals who train the AI models.
It is important to understand that we, humans, determine what data is used to train AI, with clear objectives or understanding of the consequences of training AI with the chosen data.
