Remove tags real-time
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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

Historically, this SKU enrichment of extracting and tagging attributes has been a purely manual process led by contract operators. But outsourcing this task leads to long turnaround times, high costs, and so many inaccuracies that a second human must audit the results generated by the first. This approach further boosted our coverage.

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

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Why did Google close its coding competitions after 20 years?

The Pragmatic Engineer

Problems were modeled off a real Google engineering challenge. Looking through these competitions, I really liked how the challenges for the Hash Code competition related to real-world problems. This means that two photos can, but don't have to, have tags in common.” Hash Code: team programming.

Coding 169
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Type-safe data processing pipelines

Tweag

Namely, dependencies are encoded in the types, allowing compile-time checking and serving as the code documentation. Monomorphization — applying the types to the polymorphic functions at compile-time (turning map (+ 1) [1, 2, 3] into mapInt (+ 1) [1, 2, 3] , where mapInt only works with Int s). map f xs ).

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

Reduce time spent on data quality : Data observability makes data teams more efficient by reducing the amount of time data teams need to scale their data quality monitoring as well as resolving incidents. Did one of the 58 dashboards tagged for marketing stop loading fresh data? Did an alert pop up for a critical Gold table?

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Detection of fraud and abuse at scale and in real-time is highly challenging. As a result of this reliance, the deployment and use of rule-based anomaly detection methods become prohibitively expensive and time-consuming at scale, and cannot be used for real-time analyses.