Task arithmetic for LLMs
Task arithmetic for LLMs refers to the method of combining multiple tasks to optimize the performance of large language models. It enhances task management and efficiency.
multi-task learning
Multi-task learning
Multi-task learning is a machine learning paradigm that simultaneously learns multiple tasks, sharing knowledge across them to improve performance.