ULMFiT is a technique in Natural Language Processing (NLP) that enables transfer learning for NLP tasks. It involves pretraining a language model on a large corpus of text and then fine-tuning it on specific downstream tasks. ULMFiT has been successful in improving performance on tasks like text classification and sentiment analysis.
Natural Language Processing involves the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. It powers applications like…
