{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Multi-Task Learning — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Multi-Task Learning

A training approach where a model is trained on multiple related tasks simultaneously, sharing representations across them. The intuition is that learning several tasks together acts as a form of regularization, where knowledge from one task can help with others, often producing models that generalize better than those trained on a single task alone.

Source: gaks.ai/glossary/multi-task-learning →
"}