Automatic question & answer generation using generative Large Language Model (LLM)
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
Egile Nagusiak: | Hasan, A.S.M Mehedi, Ehsan, Md. Alvee, Shahnoor, Kefaya Benta, Tasneem, Syeda Sumaiya |
---|---|
Beste egile batzuk: | Sadeque, Farig Yousuf |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/22833 |
Antzeko izenburuak
-
Subjective question generation and answer evaluation using NLP
nork: Swapno, Ahmed Symum, et al.
Argitaratua: (2024) -
101 questions and answers about dangerous animals /
nork: Simon, Seymour
Argitaratua: (1985) -
Automated short answer scoring
nork: Mithu, M. Rayhan Ahmed, et al.
Argitaratua: (2017) -
Towards devising an efficient VQA in the Bengali Language
nork: Islam, S M Shahriar, et al.
Argitaratua: (2022) -
Automatic subtitle generation for Bengali multimedia using deep learning
nork: Rhythm, Ehsanur Rahman, et al.
Argitaratua: (2024)