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Exploring Self-Labeling and the Importance of Data Quality
Discover the concept of self-labeling and its significance in developing accurate systems, highlighting the importance of careful monitoring to maintain accuracy and minimize bias. Also, learn about the challenges of transitioning language models from imitating the internet to imitating human tasks and the need to invest in data quality.