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September 10, 2025International Journal for Research in Applied Science and Engineering Technology0 citationsOpen Access

Prompt Formation and Response Matching in ChatGPT Using Multimodal Data Analysis

The Conversational AI: The Prompt Formation and Response Matching in ChatGPT

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Authors

JNJ NiveditaMSManju Sadasivan

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Overview

Observational analysis uncovers how prompt quality influences chatgpt's responses, highlighting their multimodal capabilities.

Key Points

  • ChatGPT's performance is significantly influenced by the formulation of prompts and the context of queries.
  • Evidence shows that accurately designed prompts result in better responses from chatgpt across various inputs.
  • The study utilizes visualization tools like tableau to elucidate chatgpt's behavior and assess its effectiveness.
  • Understanding the relationship between prompt clarity and response quality informs the practical applications of large language models.

Cite This Study

Nivedita et al. (2025) studied this question.

synapsesocial.com/papers/68c1aac654b1d3bfb60e33a6https://doi.org/10.22214/ijraset.2025.73464
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