Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

The CAT exam contains three sections, and Data Interpretation & Logical Reasoning (DILR) is one of them. This section contains 20 multiple-choice questions(MCQ) and Type in the Answer (TITA) questions ...