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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM30218
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
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Publication Date
12/31/45388
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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