NLP Driven Generative AI for Personalized Data / (Record no. 611549)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01623nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240919130912.0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.1,AHM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ahmed, Hasnat |
| 9 (RLIN) | 23101 |
| 245 ## - TITLE STATEMENT | |
| Title | NLP Driven Generative AI for Personalized Data / |
| Statement of responsibility, etc. | Hasnat Ahmed, Areeb Ahmed Tariq, Muhammad Shoaib Arham, Hadia Sattar. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 142 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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.<br/>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.<br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG BESE |
| 9 (RLIN) | 114271 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BESE-26 |
| 9 (RLIN) | 125902 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Fawad Khan |
| 9 (RLIN) | 125904 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 09/19/2024 | 005.1,AHM | MCSPCS-491 | 09/19/2024 | 09/19/2024 | Project Report |