In the ever-evolving world of technology, Artificial Intelligence (AI) stands out as an innovation of intelligence. Yet, despite its widespread application and growing significance, the intricacies of how AI is trained remains a mystery to many.
The Foundation of AI Training: Understanding the Basics
At the heart of AI training lies the concept of machine learning, a process where machines learn from data to make decisions or predictions. Imagine teaching a child to recognize various animals. You would show them different pictures, labeling each as a cat, dog, or bird. Similarly, in supervised machine learning, AI is trained with labeled data sets. It learns to identify patterns and makes decisions based on the data it has been fed.
Machine learning, explained by MIT Sloan Sara Brown Apr 21, 2021
“This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how…
“This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how…