Evaluation: Prove it before you ship it

1. 1Build a test dataset to evaluate AI model performance
2. 2Configure evaluation metrics to measure model correctness
3. 3Run model evaluations to identify areas for improvement
4. 4Compare model performance to baseline metrics
5. 5Apply evaluation results to fine-tune and optimize the model

AI engineers and developers can benefit from this lesson to improve the reliability of their models, and product managers can use it to make informed decisions about model deployment

💡 Confidence without correctness is just a well-dressed mistake

Evaluate AI models before shipping to ensure correctness and effectiveness #AI #Evaluation