cid 6ce41983ed8e68b44c294a764ba5692fe8a14c94881e6137003800c3e6f80bbd · original · via openalex
Title: Natural Language Processing(NLP) Based On Generative AI Using Transformers Authors: Khan, Dawood Ahmad Venue: University of Debrecen Electronic Archive (University of Debrecen) Year: 2024 Canonical: openalex:https://openalex.org/W7198625596 URL: https://openalex.org/W7198625596 Collector: openalex OA: false ABSTRACT This thesis delves into the forefront of Natural Language Processing (NLP) by leveraging cutting-edge Transformer models. Through the utilization of technologies like PyPDF2, python-dotenv, faiss-cpu, Streamlit, and Langchain, a robust NLP framework is constructed. Langchain serves as the cornerstone, enhancing both language generation and comprehension. PyPDF2 facilitates seamless integration with PDF documents, while python-dotenv ensures secure management of environment variables. By combining state-of-the-art libraries with transformative AI models, this study showcases the profound impact on document processing, virtual assistants, and beyond, pushing the boundaries of NLP towards more natural and dynamic interactions.