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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30218

CHAT GPT ASSISTANT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30218

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30218

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SAR

Shaikh Areeba Raees

SAA

Syed Adeen Ahmed

AAT

Ayaz Ari Tambe

SMY

Shaikh Mohd Yunus

PP

Pritam Pawar

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Abstract

The capacity of ChatGPT, a cutting-edge conversational AI model, to produce text responses that resemble those of a human being in a range of conversational contexts has attracted a lot of attention. By using extensive pretraining on a variety of textual data, ChatGPT generates discourse with impressive fluency and coherence, opening up new possibilities for improving human-computer interaction. In this study, we give a thorough analysis of ChatGPT’s capabilities and constraints, examining how well it generates interesting and natural-sounding discussions. We explore several facets of ChatGPT’s dialogue production through empirical evaluation and qualitative analysis, such as its flexibility across domains, responsiveness to input cues, and propensity to produce a range of contextually relevant and varied responses. Additionally, we look at methods for adjusting ChatGPT to certain conversational tasks and evaluate how different training regimens affect its

KEYWORDS

Data Collection and Preprocessing Machine Learning Models based Prediction and Visualization Real-time Update.

Cite This Article

Shaikh Areeba Raees, Syed Adeen Ahmed, Ayaz Ari Tambe, Shaikh Mohd Yunus, Pritam Pawar, "CHAT GPT ASSISTANT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30218

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Publication Date

12/31/45388

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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6

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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