AI Terminologies Explained: Data and Model Management

By Optimizely Education
Published: May 28, 2025
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Outline

Learn about Data and Model Management in AI. We'll cover key AI terminologies like Data Bias, Data Cleaning, Data Augmentation, Parameters, Model Validation, Hallucinations, RAG (Retrieval-Augmented Generation), Model Context Protocol (MCP), Overfitting, Underfitting, Regularization and Model Interpretability. Perfect for beginners!

0:00 Introduction
0:13 Features and Variables
0:33 Data Bias
0:52 Data Cleaning
1:09 Data Augmentation
1:30 Parameter
1:47 Model Validation
2:06 Hallucination
2:25 RAG
2:41 MCP
3:19 Overfitting
3:34 Underfitting
3:47 Regularization
4:02 Model Interpretability