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Challenges of Adopting New Machine Learning Models in Traditional Fields
The chapter delves into the obstacles faced in integrating new tech in sectors like healthcare, emphasizing the need for understanding new machine learning concepts. Insight is offered on utilizing LLMs to enhance programming effectiveness and creating images for swift identification of biases and flaws in models, along with the importance of scrutinizing data quality and visual methods to spot errors in machine learning models.