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.
RANK_REASON The article is an explanatory piece defining AI terms, not a release, research, or industry-moving event.
- bias
- computer vision
- deep learning
- embedding
- generative artificial intelligence
- large-language models
- machine learning
- natural language processing
- Neural Networks
- overfitting
- reinforcement learning
- supervised learning
- test data
- training set
- transformers
- underfitting
- unsupervised learning
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