RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation
· By Antonio Sedino, CTRO · Published by Reinventy Solutions Corp.
Apple ML research proposes joint LLM agent training across diverse interactive environments as a route to generalist agents.
RISED enables joint training of a single LLM agent across diverse interactive environments to develop generalist capabilities. Why it matters: For Artificial Intelligence, the source defines what should be monitored, while its stated evidence and qualification limits remain the boundary of the conclusion.
Read the original source at Apple Machine Learning Research ↗