Generative artificial intelligence for content synthesis and information retrieval
| dc.contributor.author | Chabbi Islam Falek Lamisse | |
| dc.date.accessioned | 2025-02-10T08:31:40Z | |
| dc.date.available | 2025-02-10T08:31:40Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Generative artificial intelligence has emerged as a revolutionary technology capable of transforming how content is created and information is retrieved. In this project, we explored the capabilities of advanced generative AI models, such as GPT-4, to develop four distinct services: a PDF chatbot, a blog chatbot, a YouTube video summarization service, and a SQL chatbot. These services are hosted on an accessible web server, providing users with an interactive interface to query and obtain precise and contextual responses. The PDF chatbot allows users to ask questions about the content of PDF documents and receive accurate answers. The blog chatbot enables users to interact with blog post content, asking questions and receiving instant, contextual responses. The YouTube video summarization service extracts and summarizes video content, offering users concise summaries and the ability to interact via chat. The SQL chatbot is designed to interact with SQL databases, allowing users to ask questions about the data and receive precise answers. Our work demonstrates the significant potential of generative artificial intelligence in automating and enhancing content creation and information retrieval processes. By developing and deploying advanced AI services for PDFs, blogs, YouTube videos, and SQL databases, we contribute to more intelligent and efficient information systems, benefiting users across various fields. | |
| dc.identifier.uri | http://dspace.univ-khenchela.dz:4000/handle/123456789/7821 | |
| dc.language.iso | en | |
| dc.title | Generative artificial intelligence for content synthesis and information retrieval | |
| dc.type | Thesis |