Knowledge engine: The ChatGPT logo on a phone. AI models now need a rapidly expanding network of human trainers who have specialised knowledge. — Reuters
STOCKHOLM: In the early years, getting artificial intelligence (AI) models like ChatGPT or its rival Cohere to spit out human-like responses required vast teams of low-cost workers helping models distinguish basic facts such as if an image was of a car or a carrot.
But more sophisticated updates to AI models in the fiercely competitive arena are now demanding a rapidly expanding network of human trainers who have specialised knowledge – from historians to scientists, some with doctorate degrees.
