Adaptive Instructed-Retriever: Frontier-Quality Search at 2x Lower Latency
Summary
Adaptive Instructed-Retriever combines fast single-step retrieval with multi-step sequential search, matching the quality of leading frontier models at 2x lower latency. Designed for data agents like Genie Code and trained via online reinforcement learning on Databricks AI Runtime, the model dynamically spends additional search steps only when complex queries require them.
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