Managing Data Labeling Ops for Success with Audrey Smith - #583
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Data Labeling Challenges
This chapter explores the common hurdles organizations face in data labeling, from selecting the appropriate tools to maintaining quality control. It highlights the contrast between in-house and outsourced labeling processes while emphasizing the importance of training and context for labelers. The discussion underlines the necessity of a structured approach to ensure consistent, high-quality data annotations across various tasks.
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