Category Archives: performance efficient fine tuning

The two most common transfer learning techniques in NLP were feature-based transfer (generating input text embedding from a pre-trained large model and using it as a feature in your custom model) and fine-tuning (fine tuning the pre-trained model on custom … Continue reading →