Tag
Introduces MetaFlow, a method that trains large language models to generate zero-shot workflows for tasks by combining supervised fine-tuning and reinforcement learning with execution feedback, achieving strong generalization to untrained tasks and operator sets.
A tweet discusses a mental model where an AGI agent functions as a just-in-time workflow generator and executor, noting that Anthropic's Dynamic Workflows are an early implementation of this concept.