Llm, Artificial Intelligence, Machine Learning, AI, Fine Tuning.
aggregated Alternate mini-batches between datasets Gradient blending from separate optimizers Benefits Improves performance across all tasks Model gains more universal representations Use Cases All tasks use similar features/data Desire strong generalization across use cases Leverage datasets