
Training AI models without data labelling using Zero-shots strategies
Machine learning has evolved significantly in recent years, enabling language models (LLMs) and computer vision to perform complex tasks with high accuracy. However, many supervised learning techniques rely on large, labelled datasets, which can be difficult to use.






