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

Ethics in AI focuses on the responsible and ethical use of AI technologies. Businesses must consider the fairness, transparency, accountability, and privacy implications of…
Genetic Algorithms are optimisation techniques inspired by the principles of evolution. By mimicking natural selection, Genetic Algorithms explore a large search space and find…
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
Robotics Process Automation is an AI technology that automates repetitive and routine tasks in business processes. RPA involves using software robots to emulate human…