Multitask reinforcement learning
Multitask reinforcement learning (MT-RL) is a subfield of machine learning that focuses on training agents to perform multiple tasks simultaneously using shared knowledge.
Multitask Learning
MMLU (Measuring Massive Multitask Language Understanding)
MMLU (Measuring Massive Multitask Language Understanding) is a benchmark designed to evaluate the multitask language understanding abilities of large language models across a wide range of subjects. It measures performance on multiple choice questions derived from professional and academic topics to provide a standardized assessment of general language comprehension and reasoning.