Embeddings are dense numeric vectors that encode the meaning of text, images or other data so that similar items sit close together…
An evaluation dataset is a held-out set of labeled examples used to measure how well an AI model performs on data it…
Explainable AI covers methods that make AI model decisions understandable to humans, supporting oversight, debugging, fairness review and accountability.