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5min chapter
Production data labeling workflows
Practical AI: Machine Learning, Data Science, LLM
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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