LLM concepts
Active Learning
A machine learning paradigm where an algorithm can actively query a user (or some other information source) to label new data points with the desired outputs.
## Definition Active learning is a specialized approach in machine learning where the learning algorithm is able to interactively query an oracle—often a human—to label data that the model is uncertain about. This is particularly valuable in scenarios where unlabeled data is abundant, but labeling is expensive or time-consuming. By focusing on the most informative samples, active learning can significantly reduce the number of labeled examples required to reach high performance levels.
Related terms