Generative artificial intelligence for content synthesis and information retrieval
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Date
2024
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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.