AI Models
Google’s Retrieve-for-Train Skips AI Search’s ‘Thinking’ Step, Cuts Latency Up to 20x
Google Research says its new Retrieve-for-Train framework trains AI search’s query decomposition once, offline, instead of reasoning through it live, cutting fan-out latency from nearly 50 seconds to under a few, per its own benchmarks.