5 reasons MLops teams are using more edge ML
As the number of machine learning use cases grow and evolve, an increasing number of MLops organizations are using more ML at the edge.
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Heartex, the well-funded machine learning data labeling startup, is launching a major update to its platform today that will open up new use cases for its tools by making annotating audio files in the commercial and open source versions of its Label Studio a lot easier for its users. These updates include a new user […]
Heartex’s Label Studio makes labeling audio for ML easier by Frederic Lardinois originally published on TechCrunch