Glossary

foundation models are essential tools in data science. They are deep learning neural networks trained on large datasets, helping to accelerate and streamline the development of machine learning models.

Forward Propagation is a crucial step in neural networks, where input data transits through the network towards an outcome, ensuring precise predictive modeling.

Forward Chaining is an AI technique where known facts are used to drive rule-based systems towards creating or deriving new facts, using a bottom-up approach.