Ticker

6/recent/ticker-posts

ChatGPT - An in-depth analysis of ChatGPT's history, uses, main obstacles, prejudice, ethics, constraints, and potential

 Abstraction

Machine learning and artificial intelligence (AI) have been revolutionizing scientific research in recent years. Among them, chatbot technology has advanced significantly in recent years, particularly with the emergence of ChatGPT as a prominent AI language model. This thorough analysis explores ChatGPT's history, uses, main obstacles, and potential future developments. 




We start by going over its history, evolution, and underlying technology before looking at its many uses in sectors like healthcare, education, and customer service. Along with talking about possible solutions, we also draw attention to the serious problems that ChatGPT has, such as safety concerns, data biases, and ethical dilemmas. Lastly, we look ahead to ChatGPT's future by investigating potential areas for more study and advancement, emphasizing its compatibility with other technologies,

 enhanced tackling the digital divide and human-AI interaction. For academics, developers, and stakeholders interested in the constantly changing field of AI-driven conversational agents, this overview provides insightful information. From data processing and hypothesis development to collaboration and public outreach, this study examines the different ways ChatGPT has been transforming scientific research. The study also looks at the possible drawbacks and moral dilemmas associated with using ChatGPT in research,

 emphasizing the significance of finding a balance between human knowledge and AI-assisted creativity. The article discusses a number of ethical concerns in the current computing field and how ChatGPT may raise objections to these ideas. Some of ChatGPT's biases and limitations are also included in this work. It's important to remember that in spite of several disputes and moral dilemmas, ChatGPT has garnered impressive interest in a short period of time from companies, research, and academia.


Key contributions

We present several contributions in this article which can further help academician and enthusiasts to better understand ChatGPT. Some of major contributions are listed as follows.
  • To present in-depth review about ChatGPT in current scenario.
  • To compare ChatGPT with related AI technologies.
  • To give detailed insights about various applications that can be served by using ChatGPT.
  • To discuss about existing challenges, ethical issues, controversies and future direction.
  • To present computer ethics and ChatGPT’s role to pose challenges in this context.
  • To discuss about biases and key limitations of ChatGPT.



  • ChatGPT has already made significant contributions to the advancement of scientific research and has the potential to continue transforming the field in the future. By addressing the challenges and ethical concerns associated with its use, researchers can harness the power of AI responsibly to push the boundaries of human knowledge and understanding. Addressing these challenges will enhance the performance, utility, and user experience of ChatGPT and other conversational AI models, making them more effective in various applications and industries. In various applications and scientific research field, ChatGPT has shown great promise in improving efficiency, facilitating collaboration, and driving innovation. ChatGPT has brought several advancements to generative AI, including: (i) improved contextual understanding: ChatGPT can understand the context of a conversation and generate relevant responses, making it more effective at mimicking human-like interactions, (ii) better language generation: With its advanced language generation capabilities, ChatGPT produces coherent, contextually accurate, and grammatically correct text, (iii) task adaptability: ChatGPT can be fine-tuned for specific tasks or domains, increasing its versatility across various industries, (iv) multilingual proficiency: Its ability to work with multiple languages enables ChatGPT to cater to diverse user bases and global applications. However, several ethical issues must be resolved to make ChatGPT help to shape intelligent human-machine era.



Post a Comment

0 Comments