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datePast Year
subjectPerformance And Reliability
authorThe Gradient
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Open-Endedness and Evolution through Large Models
From ACM Opinion

Open-Endedness and Evolution through Large Models

A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.

Linguistics and the Development of NLP
From ACM Opinion

Linguistics and the Development of NLP

An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...

Lessons From Deploying Deep Learning to Production
From ACM Opinion

Lessons From Deploying Deep Learning to Production

Peter Gao, an early engineer at Cruise, reflects on his experience deploying deep-learning models into production.

Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University
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