From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI

Zarif   Bin Akhtar

doi:10.59400/cai.v2i1.1378

From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI

Zarif Bin Akhtar Department of Engineering, University of Cambridge, Cambridge CB2 1TN, England, United Kingdom

Article ID: 1378

3803 Views, 525 PDF Downloads, 12 Supp.file Downloads

DOI: https://doi.org/10.59400/cai.v2i1.1378

Keywords: artificial intelligence (AI); bard; ChatGPT; computer vision; deep learning (DL); Gemini; generative artificial intelligence (GAI); large language models (LLM); machine intelligence; machine learning (ML)

Abstract

The advent of artificial intelligence (AI) has significantly transformed various aspects of human life, particularly in information retrieval and assistance. This research presents a comprehensive evaluation of Gemini, previously known as Google Bard, a state-of-the-art AI chatbot developed by Google. Through a meticulous methodology encompassing both qualitative and quantitative approaches, this research aims to assess Gemini’s performance, usability, integration capabilities, ethical implications. Primary data collection methods, including user surveys and interviews, were utilized to gather towards the qualitative feedback on user experiences with Gemini, supplemented by secondary data analysis using tools such as Google Analytics to capture quantitative metrics. Performance evaluation involved benchmarking against other AI chatbots and technical analysis of Gemini’s architecture and training methods. User experience testing examined usability, engagement, and integration with Google Workspace and third-party services. Ethical considerations regarding data privacy, security, and biases in AI-generated content were also addressed, ensuring compliance with major regulations and promoting ethical AI practices. Acknowledging limitations and challenges inherent in the investigative exploration, data analysis was conducted using thematic and statistical methods to derive insights. The results and findings of this research offer valuable insights into the capabilities and limitations of Gemini, providing implications for future AI development, user interaction design, and ethical AI governance. By contributing to the ongoing discourse on AI advancements and their societal impact, this exploration facilitates informed decision-making and lays the groundwork for future research endeavors in the field of AI-driven conversational agents.

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Published

2024-06-27

How to Cite

Bin Akhtar, Z. (2024). From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI. Computing and Artificial Intelligence, 2(1), 1378. https://doi.org/10.59400/cai.v2i1.1378

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