Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey

no code implementations • 16 Aug 2023 • Lovre Torbarina, Tin Ferkovic, Lukasz Roguski, Velimir Mihelcic, Bruno Sarlija, Zeljko Kraljevic

The increasing adoption of natural language processing (NLP) models across industries has led to practitioners' need for machine learning systems to handle these models efficiently, from training to serving them in production.

Continual Learning Multi-Task Learning