Fine-tuning large NLP models

Deividas Matačiūnas

Fine-tuning became a standard for doing transfer learning in natural language processing. Over the last 3 years, this technique was used in many NLP tasks like summarization, translation, natural language inference, etc., and help achieved incredible results. This transfer learning technique could help you in various NLP and deep learning tasks. If you want to know more participate in the PyCon Lithuania conference.