What is Active Learning?

Active Learning is a semi-supervised machine learning technique. Instead of passively receiving all training data, the model actively queries for the most informative data points when faced with uncertainty. This approach can reduce the amount of labeled data required for effective learning, as the model focuses on the most ambiguous and informative instances.

In the context of chatbots, active learning can help in refining responses by seeking feedback on uncertain interactions or by prioritizing the annotation of specific user queries.