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NLP Driven Generative AI for Personalized Data / Hasnat Ahmed, Areeb Ahmed Tariq, Muhammad Shoaib Arham, Hadia Sattar.

By: Ahmed, Hasnat Contributor(s): Supervisor Fawad Khan Material type: Text

TextPublisher: MCS, NUST Rawalpindi 2024Description: 142 pSubject(s): UG BESE | BESE-26DDC classification: 005.1,AHM

Contents:

Providing swift and accessible information is crucial for all businesses, customers rarely refer to extensive documentation and information made available to them and bypass all those resources and rely on customer service support teams to address their queries. So, businesses have to hire a lot of staff to assist and resolve user queries. This process can be expensive and with a large number of customers, the process can be slow and may involve significant wait time. The Aim of this project is to provide a way to utilize large language models so that they can be used as a first point of contact to answer customer queries in natural language and help resolve them quickly. Using our solution a user will be able to create chatbot with customized data, relevant to their own business. Utilizing our solution, we will also create a chatbot for National University of Science and Technology (NUST) which will be able to answer students queries regarding university policies and guidelines and whose data can be updated by admin whenever need occur so that Students can get updated information.

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Project Report	Military College of Signals (MCS)	Military College of Signals (MCS)	General Stacks	005.1,AHM (Browse shelf)	Available		MCSPCS-491

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Previous	005.1,ABD Smart Counseling Bot /	005.1,AHD The design and analysis of computer algorithms /	005.1,AHE CMMI distilled : a practical introduction to integrated process improvement /	005.1,AHM NLP Driven Generative AI for Personalized Data /	005.1,AHO The design and analysis of computer algorithms /	005.1,AKB A Toolkit For The Urdu Language Using NLP /	005.1,AKH Military Virtual Telepresence Robot / Capt Zunair Akhtar, Capt Ammar Faroor, Capt Ehtasham Arshad, Capt Mujtaba Rind	Next

Providing swift and accessible information is crucial for all businesses, customers rarely refer to extensive documentation and information made available to them and bypass all those resources and rely on customer service support teams to address their queries. So, businesses have to hire a lot of staff to assist and resolve user queries. This process can be expensive and with a large number of customers, the process can be slow and may involve significant wait time.
The Aim of this project is to provide a way to utilize large language models so that they can be used as a first point of contact to answer customer queries in natural language and help resolve them quickly. Using our solution a user will be able to create chatbot with customized data, relevant to their own business.
Utilizing our solution, we will also create a chatbot for National University of Science and Technology (NUST) which will be able to answer students queries regarding university policies and guidelines and whose data can be updated by admin whenever need occur so that Students can get updated information.

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