Brief

If You Understand These 21 Terms, You’ll Understand Almost Any AI Concept

This article aims to demystify Artificial Intelligence by defining 21 key terms that form the foundation of understanding AI concepts. It covers a broad spectrum of AI subfields, from machine learning and deep learning to natural language processing and computer vision. The piece also touches upon crucial aspects like generative AI, large language models, and the importance of understanding terms such as overfitting, bias, and the different types of datasets used in AI development. AI

IMPACT Provides foundational knowledge for understanding AI advancements and discussions.

• transformers
• embedding
• reinforcement learning
• generative artificial intelligence
• large-language models
• machine learning
• Neural Networks
• computer vision
• natural language processing
• deep learning
• unsupervised learning
• overfitting
• bias
• training set
• supervised learning
• underfitting
• test data