Data as Code
The concept of technical debt in machine learning emphasizes that data can replace code in defining system behavior. As data increases, so does the need for verification to ensure models perform accurately. An example from GPT-3 illustrates how unexpected behaviors, like arithmetic skills, can emerge from large datasets, highlighting the importance of data quality and the challenges of accuracy even with vast amounts of information.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Debt in Machine Learning with D. Sculley - #574
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