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Bijee Lakshman, Abhinav S.
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- Student, Student, Department of Data Science, Women’s Christian College, Chennai, Computer Science and Business Systems, S.R.M Institute of Science and Technology, Kattankulathur, Tamil Nadu, Tamil Nadu, India, India
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Abstract
nArtificial Intelligence (AI) has become a transformative force, revolutionizing diverse sectors by integrating intelligent systems into everyday processes. Natural Language Processing (NLP) plays a crucial role, enabling machines to understand and produce human language, marking a significant advancement in technology. This innovation has various applications, including chatbots, language translation, and sentiment analysis, thereby improving interactions between humans and computers and facilitating information processing. Generative AI, a subset of AI, takes innovation to new heights by enabling machines to autonomously create content. This advancement is particularly evident in language models that exhibit context-aware content generation, revolutionizing creativity in various fields such as writing and art. The synergy between NLP and generative AI has paved the way for unprecedented advancements, showcasing the potential for machines to understand and generate contextually relevant content. In the realm of AI tools, a critical player is Codeium, an open-source code editor. Designed with software developers in mind, Codeium incorporates AI-powered functionalities such as smart code suggestions and syntax highlighting. This paper describes how Codeium significantly enhances the efficiency of developers, facilitating smoother code writing, editing, and debugging processes. A comparative analysis with few other AI tools is made highlighting few demos of prompt engineering in Codeium As the collective impact of AI, NLP, generative AI, and advanced tools like Codeium continues to unfold, these technologies not only redefine the boundaries of what is achievable but also underscore their pervasive influence across industries. From language understanding to innovative content creation and streamlined software development, the multifaceted applications of these technologies underscore their significance in shaping the future of artificial intelligence.
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Keywords: Artificial Intelligence (AI), Natural Language Processing (NLP), Generative AI (Gen AI), Codeium, Prompt Engineering
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References
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[1] Bertalan Meskó, “Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial”, Journal of Medical Internet Research, October 2023, Vol 25 ,
[2] Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima PourNejatian, Anthony B. Costa, “A study of generative large language model for medical research and healthcare”, npj Digital Medicine volume 6, Article number: 210 (2023).
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[10] Zhihan Lv, “Generative artificial intelligence in the metaverse era”, Cognitive Robotics, Volume 3, 2023, Pages 208-217.
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Journal of Software Engineering Tools & Technology Trends
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | February 26, 2024 | |
| Accepted | March 21, 2024 | |
| Published | April 5, 2024 |
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