Asad-94/Leveraging-Quantized-LLMs-for-Sentence-Boundary-Prediction-in-Transcribed-Urdu-text Asad-94/Leveraging-Quantized-LLMs-for-Sentence-Boundary-Prediction-in-Transcribed-Urdu-text

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Asad-94/Leveraging-Quantized-LLMs-for-Sentence-Boundary-Prediction-in-Transcribed-Urdu-text
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Asad-94

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Repository Details

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.

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