Automating Machine Learning
AutoML serves as a valuable tool for automating less engaging tasks in machine learning, such as hyperparameter tuning. However, deeper questions regarding data selection, model structures, and the nuances of fine-tuning large pretrained models still require human judgment and insight. Emphasizing the importance of human involvement, the discussion highlights the balance between automation and the critical thinking needed for complex problem-solving in the field.In this clip
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