Explainable artificial intelligence (XAI) allows human users to comprehend and trust the results and output created by machine learning algorithms.| www.ibm.com
Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between input features and outputs. The goal of the learning process is to create a model that can predict correct outputs on new real-world data.| www.ibm.com
Knowledge distillation is a machine learning technique used to transfer the learning of a large pre-trained “teacher model” to a smaller “student model.”| www.ibm.com
Neural networks allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.| www.ibm.com
Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.| www.ibm.com
Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence.| www.ibm.com