În afara temei aiqbench
Această știre a fost preluată de la o sursă pe care o urmărim, dar nu ține de domeniul AI sau cuantic, așa că nu există o perspectivă aiqbench pentru ea.
Uber Eats Rebuilds Search Pipeline to Cut End-to-End Latency by 50%
Uber has rebuilt major parts of the Uber Eats search pipeline, reporting a 50% reduction in end-to-end latency. Changes include Above-the-Fold measurement, reduced retrieval work, parallel hydration, advertising data redesign, infrastructure optimizations, and an agentic coding workflow. Uber is also exploring microbatching, product-based retrieval, and HTTP multipart streaming. By Leela Kumili
Uber has rebuilt major parts of the Uber Eats search pipeline and reports a 50% reduction in end-to-end search latency. The changes span retrieval, feature hydration, ranking, advertising, presentation, and infrastructure, while an agentic coding workflow was also used to identify, benchmark, and validate additional optimizations. The work…
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