Is anybody using multitask learning to abstract information out of documents? Something long the lines of using an LLM “input” with context windows of token sequences to match multiply labeled classifications?
Is anybody using multitask learning to abstract information out of documents? Something long the lines of using an LLM “input” with context windows of token sequences to match multiply labeled classifications?