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Engineering, Data / ML, Uber AI

Requirement Adherence: Boosting Data Labeling Quality Using LLMs

Harnessing the power of LLMs, Uber AI Solutions developed a system to reduce data labeling audits by 80%. Learn how the system detects labeling errors, boosting data quality.

October 21 / Global

Engineering, Data / ML

Rebuilding Uber’s Apache Pinot™ Query Architecture

October 16 / Global

Cadence Workflow Joins the Cloud Native Computing Foundation

October 6 / Global

Higher Education

Campus chaos, resolved: streamlining event transportation with Vouchers

October 6 / Global

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Higher Education

Campus cravings: exploring the top Uber Eats meals at universities

October 3 / Global

Engineering, Mobile

How Uber Standardized Mobile Analytics for Cross-Platform Insights

October 2 / Global

Using Uber: your guide to the Pace RAP Program

October 1 / Global

Engineering, Backend, Data / ML, Uber AI

Uber’s Strategy to Upgrading 2M+ Spark Jobs

September 25 / Global

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Adding Determinism and Safety to Uber IAM Policy Changes

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Building Uber’s Data Lake: Batch Data Replication Using HiveSync

September 4 / Global

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Controlling the Rollout of Large-Scale Monorepo Changes

August 28 / Global

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How Uber Serves over 150 Million Reads per Second from Integrated Cache with Stronger Consistency Guarantees

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