Artificial intelligence (AI) is revolutionizing our world—but if you’re not immersed in the field, the sheer volume of technical jargon can feel overwhelming. Whether you’re a student, a professional, or simply an enthusiast eager to understand more, a solid grasp of foundational AI terms makes all the difference.

Here’s a curated walkthrough of vital concepts that demystify AI, machine learning, neural networks, and more, based on the comprehensive glossary from MIT xPRO.

Foundational AI Concepts

Artificial Intelligence (AI): The science of making computers perform tasks that typically require human intelligence, such as problem-solving, pattern recognition, and learning.

Artificial General Intelligence (AGI): The hypothetical stage where AI matches or exceeds human intelligence across an unrestricted range of tasks.

Machine Learning: A subset of AI where algorithms learn patterns from data to make predictions or decisions without being explicitly programmed.

Deep Learning: Machine learning methods using multi-layered neural networks capable of learning data representations automatically and hierarchically.

https://www.llmsoftware.com/blogs/unlocking-the-language-of-ai-key-terms-you-need-to-know