In the rapidly evolving world of artificial intelligence, terms like Generative AI and Large Language Models are often tossed around and used interchangeably. However, this common misconception can lead to confusion and a lack of clarity when discussing AI technologies. In this entry, I will aim to demystify these terms and provide a clear understanding of where they fit within the broader AI domain.
Let’s start at the top. Artificial Intelligence (AI) is the overarching domain that involves creating machines capable of performing tasks that typically require human intelligence. Within AI, Machine Learning (ML) emerges as a significant subdomain, focusing on algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data.