Glossary

Temporal Difference Learning is a potent method in reinforcement learning that updates predictions based on real-time environment interaction and later, precise predictions. This model-free learning approach offers enhanced efficiency by making adjustments continually, rather than waiting for the final outcomes, unlike the Monte Carlo methods.

In Supervised Learning, a model is trained using labeled data to predict or determine unknown outputs. It uses input-output pairs in training data.

Superintelligence defines an advanced AI entity surpassing human intellect across disciplines, including scientific innovation, wisdom and social abilities.

A Subject-Matter Expert (SME) holds deep knowledge and expertise in a particular domain, vital in enhancing the effectiveness of machine learning applications.

SuperGlue is a benchmarking suite ideal for assessing language understanding model performance. It is an evolved version of the GLUE benchmark for a more accurate model evaluation.

Superalignment is a critical aspect in AI safety, ensuring superintelligent AI systems operate according to human values and goals to mitigate potential risks associated with advanced AI deployment.