Production data labeling workflows (Practical AI #195)
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What's the Landscape of Data Labelling and Tooling?
Off the shelf models are being used more often. Training data is needed in cases where unique vocabularies in a warrant kind of highly specialized bespoke model tuning. On the tooling side, i say we've seen companies both big and small relying on a hibrid of inhouse data labelling and inhouse plus click workers. But what we're not seeing is ai companies that have systems in place to manage those different approaches in a cohesive way.
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