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.
ULMFiT is a technique in Natural Language Processing (NLP) that enables transfer learning for NLP tasks. It involves pretraining a language model on a…