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By embedding online learning directly into LLM call latencies, this framework can cut query costs by nearly 8x, revolutionizing how we optimize semantic data processing.
Semantic SQL queries can achieve >0.95 F1 while drastically reducing LLM inference costs in production via streaming model cascades that adapt to data distributions on each worker node.
