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Machinehack_Intel_oneapi_hackathon_the_llm_challenge\n\n\n### Competition hosted on \u003ca href=\"https://machinehack.com/hackathons/intel_oneapi_hackathon_the_llm_challenge/overview\"\u003eMachinehack\u003c/a\u003e\n\n# About\n\n### Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).\n\n### The Final Competition score is 0.25114\n\n### Final Leaderboard Rank is 9/35\n\n### The Evaluation Metric is Accuracy.\n\n### File information\n \n * mh-intel-oneapi-hackathon-the-llm-challenge-eda.ipynb [![Open in Kaggle](https://img.shields.io/static/v1?label=\u0026message=Open%20in%20Kaggle\u0026labelColor=grey\u0026color=blue\u0026logo=kaggle)](https://www.kaggle.com/code/hari141v/mh-intel-oneapi-hackathon-the-llm-challenge-eda)\n    #### Basic Exploratory Data Analysis\n    #### Packages Used,\n        * seaborn \n        * Pandas\n        * Numpy\n        * Matplotlib\n        * nltk\n        * spacy\n        * wordcloud\n        * spellchecker\n        * sklearn\n\n* mh-intel-oneapi-hackathon-the-llm-challenge-model.ipynb [![Open in Kaggle](https://img.shields.io/static/v1?label=\u0026message=Open%20in%20Kaggle\u0026labelColor=grey\u0026color=blue\u0026logo=kaggle)](https://www.kaggle.com/code/hari141v/mh-intel-oneapi-hackathon-the-llm-challenge-model2)\n    #### I have directly used a pre-trained model without fine-tuning it on the training data, primarily due to my limited knowledge in NLP-QA tasks. I loaded and predicted the test data using the transformers inference pipeline.\n    #### Packages Used, \n        * Pandas\n        * Huggingface\n        \n  \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fmachinehack_intel_oneapi_hackathon_the_llm_challenge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhariprasath-v%2Fmachinehack_intel_oneapi_hackathon_the_llm_challenge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fmachinehack_intel_oneapi_hackathon_the_llm_challenge/lists"}