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Unlocking Insights: Exploring Data Analytics and AI Tool Performance Across Industries

  • Hitesh Mohapatra,
  • Soumya Ranjan Mishra

摘要

AI Tool, a powerful large language model (LLM), is designed to create human-like responses in natural language conversations, leveraging extensive training on internet data for information, engagement, task assistance, and creative insights.AI Tool’s core is a transformer neural network, renowned for capturing text’s long-range dependencies. With 175 billion parameters, it’s among the most extensive LLMs to date. This research endeavors to present a holistic perspective on the responses generated by AI Tool in a variety of industrial sectors, all while aligning with data analytic principles. To ensure the reliability of its responses, the study engaged human experts in respective fields to cross-verify the outcomes. Furthermore, to gauge the performance of AI Tool, the study meticulously considered specific parameters and conducted a thorough evaluation. The findings of this research serve the research community and other users, by offering insights into the applications and interaction patterns of AI Tool within the context of data analytics. The results affirm that AI Tool is capable of producing human-like responses that are both informative and engaging, all within the framework of data analytics. However, it’s crucial to acknowledge that AI Tool may occasionally produce inaccurate or nonsensical answers. Consequently, a critical evaluation of AI Tool’s information, coupled with verification from reliable sources, when necessary, is imperative. Despite these considerations, this study underscores AI Tool’s potential as a promising tool for natural language processing, with applications spanning a wide array of fields, particularly when integrated with data analytic concepts.