GitHub / SreecharanV / Building-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data

This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SreecharanV%2FBuilding-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data

Topics: adaptive-learning, bert, bert-model, finetuning-large-language-models, jeopardy-trivia, machine-learning, machinelearning, natural-language-processing, natural-language-understanding, nlp-machine-learning, qa, question-answering, questions-and-answers, squad

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