Summary: State-of-the-art language models in NLP perform best when fine-tuned even on small datasets, but due to their increasing size, fine-tuning and downstream usage have become extremely compute-intensive. Being able …

Modular and Parameter-Efficient Fine-Tuning for NLP Models Read More »