Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Google Research's Retrieve-for-Train framework uses offline RL to discover reward-aligned query fan-out and distills it into supervision signals, bypassing LLM token-by-token chain-of-thought inference latency.