Harnessing Hybrid Intelligence: Balancing AI Models and Human Expertise for Optimal Performance

Measuring metrics on AI models is important because it enables stakeholders to gain valuable insights into how well their algorithms achieve desired outcomes and uncovers potential biases, limitations, and areas for improvement. This process facilitates the iterative refinement of models leading to more accurate and fair predictions; moreover, consistent and transparent assessment of AI models Read more…

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