Glossary

Algorithmic bias occurs when AI models produce unfair results due to biased data or design, impacting fairness across different user groups.

Agentic AI systems pursue goals autonomously, plan actions, and adapt dynamically, making them capable of long-term reasoning and independent decision-making.

Fine-tuning lets you adapt pre-trained AI models to specific tasks, boosting accuracy and efficiency without starting from scratch. Learn how it works here.

Bayesian Optimization is a probabilistic technique for efficiently finding global optima in costly or complex functions, widely used for ML model tuning.