Generative AI and machine learning are two interrelated technologies revolutionizing how we interact with computers and data. At their core, both aim to harness the power of algorithms to analyze and generate insights from vast amounts of data.
Machine Learning is a subset of artificial intelligence (AI) that involves training algorithms to learn from and make predictions or decisions based on data. Machine learning models are designed to improve their performance over time as they are exposed to more data. These models can identify patterns and make decisions without being explicitly programmed for each specific task. For example, machine learning algorithms are behind recommendations on streaming services, fraud detection systems in banking, and even email spam filters.
