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Analysis of Sector-Specific Responses of AI Generative

  • Hitesh Mohapatra,
  • Soumya Ranjan Mishra

摘要

The AI tools are designed to mimic human-like responses in natural language conversations. It uses deep learning techniques, trained on diverse internet texts, to generate coherent replies across various prompts. Its functions include providing information, engaging in conversations, assisting with tasks, and offering creative suggestions. At its core, AI Tool relies on a transformer neural network, excelling at capturing long-range text dependencies, making it ideal for language-related tasks. With a whopping 175 billion parameters, it stands as one of the most substantial language models developed. Its extensive training in internet text gives it broad language understanding and general knowledge. However, it's crucial to note that it can occasionally produce incorrect or nonsensical answers. Users must critically assess their responses and verify information from reliable sources when needed. This work presents analysis on a sector specific AI Tool’s response on user’s questionaries. The responses from AI tools have been cross-verified with human experts for accuracy and validation. The AI Tool's performance has undergone thorough evaluation using specific parameters. This study aims to benefit the research community and ordinary users, by offering a comprehensive understanding of AI generative responses and its patterns. This work aims to promote responsible and informed usage of this advanced language model.