Glossary

Diffusion Models are key components in machine learning, comprising the forward & reverse process and the sampling procedure. Known also as probabilistic or score-based models.

Explore different types of dialogue systems in AI like rule-based, statistical, or neural networks. Each system has its unique benefits and limitations tailored for structured conversations.

Dimensionality Reduction refers to the technique of minimizing the complexity of high-dimensional data while retaining its essential aspects, optimizing computation, and enhancing data analysis.