Glossary term
Glossary term
Training and Fine-Tuning
Joint learning trains multiple AI tasks or models simultaneously, sharing knowledge across tasks like intent detection and entity recognition to improve accuracy in complex systems like virtual assistants.
Rasa's DIET classifier jointly learns intent classification and entity extraction in one transformer.
Multitask learning in T5 (Text-to-Text Transfer Transformer) by Google jointly trains across diverse NLP tasks.
Hugging Face transformer models often use joint learning heads for QA, NER, and classification.