What is Universal Language Model Fine-Tuning (ULMFiT)?

Skill Level:

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.

Other Definitions

An algorithm is a set of rules and instructions that guide AI systems in solving problems or making decisions. Algorithms process data, analyse patterns,…
The Internet of Things refers to a network of interconnected devices, sensors, and objects that can collect and exchange data. IoT Devices enable the…
Artificial General Intelligence refers to AI systems capable of understanding, learning, and performing any intellectual task as humans do. Although AGI remains aspirational, it…
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…