KaggleX Final Project with Adejumobi Joshua | Kaggle
About this project: The Yoruba-RAG project focuses on enhancing the performance of large language models, like GPT-3, when handling questions in low-resource languages like Yoruba. The project involves web scraping from a Yoruba blog using Beautiful Soup, storing the data in a text file, and dividing it into smaller chunks. To effectively process Yoruba text, the Language-agnostic BERT Sentence Embedding (LaBSE) model is employed, and the results are stored in a Chroma database. This enriched database significantly improves GPT's ability to respond to Yoruba questions, making it more proficient in low-resource language inquiries.
About Adejumobi Joshua: Adejumobi Joshua is a recent Computer Science graduate with first-class honors. She is a highly skilled data professional, excelling as both a data scientist and data analyst. Renowned for her exceptional problem-solving abilities, Adejumobi is a profound thinker known for her unwavering commitment, exceptional discipline, and determination. She leverages her strong analytical skills to expertly transform raw data into valuable insights. Adejumobi possesses proficiency in a range of tools and technologies, including Excel, SQL, Python, Machine Learning, Tableau, Google Cloud Platform, and Git. Her deep passion for machine learning research, particularly in the field of Natural Language Processing (NLP), adds a layer of expertise to her profile, making her an invaluable asset in the data-driven world.
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About KaggleX: KaggleX BIPOC mentorship program is designed to help increase representation, create career opportunities, and develop individual growth for BIPOC (Black, Indigenous, People of Color) people in the data science industry.
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