Evaluating Large Language Models on Urdu Idioms
The episode discusses a paper evaluating Large Language Models (LLMs) for translating Urdu idioms. The hosts detail the methodology, comparing LLMs to traditional Neural Machine Translation (NMT) using two datasets: Native and Roman Urdu. Key findings show LLMs outperform NMT, especially when guided by specific prompt engineering techniques.