Automating Data Transformation
Clive discusses the potential of large language models in automating repetitive coding tasks, particularly in transforming raw data. While LLMs can effectively handle boilerplate code, they struggle with API integration and often produce inaccuracies. A combination of LLMs for initial processing and traditional methods for error correction could enhance the efficiency of turning unstructured data into structured formats, ultimately saving time and improving usability.In this clip
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The Gradient
Clive Thompson: Tales of Technology
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