Leveraging-Quantized-LLMs-for-Sentence-Boundary-Prediction-in-Transcribed-Urdu-text
This research is based on using Large Language Models (LLMs) to predict the positions of commas and full stops in transcribed Urdu text. For this purpose, one-shot learning technique is mainly utilized during the research.