One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks where getting large amounts of labelled data is challenging or expensive. One-Shot learning has applications in facial recognition, biometrics, and natural language processing.
Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…
