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OpenAI ChatGPT, Google Bard, and Microsoft Bing: Similarity Index and Analysis of Artificial Intelligence-Based Contents Ventayen, Randy Joy M.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 3 (2024): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.03.15

Abstract

This research compares AI language models—specifically, OpenAI's ChatGPT, Google's Bard, and Microsoft's Bing—by analyzing their originality, use of external sources, and performance. Conducted on August 5, 2023, the study evaluates how these models respond to different queries, revealing distinct characteristics. ChatGPT stands out with lower similarity scores and lesser reliance on online sources, indicating its potential for creating more unique content. In contrast, Bard and Bing show higher similarity scores, suggesting they draw more from available online content, which could be beneficial for tasks requiring context-rich information. While ChatGPT and Bard excel in grasping context, generating substantial content, and offering relevant insights, there are concerns about accuracy and consistency across queries. Notably, Bing's focus on aiding content creation rather than direct essay generation showcases diverse strengths among AI models. As AI technology progresses, refining these models and addressing inconsistencies will improve their usefulness across various applications. These findings guide users in choosing AI tools that fit their content needs and ensure the credibility of generated outputs.
After 3D Printing, What's Next: Discovering Scientific Trends of 4D Printing Ventayen, Randy Joy M.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 3 (2024): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.03.13

Abstract

he field of additive manufacturing has seen the rise of 3D Printing and 4D Printing as noteworthy subjects of research. This study highlights the advancements in advanced Printing techniques. To identify, evaluate, and analyze the existing literature on this subject, the research followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, focusing on documents indexed in the Elsevier Scopus database. Through bibliometric analysis (BA), including co-authorship, keyword co-occurrence, and citations, the research landscape and scientific progress in this area were examined. The analysis revealed that a total of 1,638 documents have been published and indexed on this topic since its inception. The search was conducted on February 17, 2023, at 2:30 AM +8 GMT. The results indicated that articles are the primary form of publication, with a strong emphasis on Materials Science, Engineering, and Chemistry as the favored thematic subjects in the published works. Among the various sources of publications, ACS Applied Materials and Interfaces, published by ACS Publications, emerged as the most influential. On the research leadership front, Gladman A. Sydney, affiliated with Harvard University, was identified as the most influential lead researcher in this domain. Further examination revealed that prolific authors in this field are primarily associated with institutions in China, the United States, India, the United Kingdom, and Singapore. In conclusion, the findings highlight that the trend of 4D Printing within the scientific community is still in a phase of ongoing development.