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Unleashing the Potential of Conversational AI: Amplifying Chat-GPT’s Capabilities and Tackling Technical Hurdles

Year: 2023

Type: article

Abstract: Conversational AI has seen a growing interest among government, researchers, and industrialists. This comprehensive survey paper provides an in-depth analysis of large language models, specifically focusing on ChatGPT. This paper discusses the architecture, training process, and challenges associated with large language models, including bias, interpretability, and ethics. It explores various applications of ChatGPT and examines future research trends, such as improving model generalization, addressing data scarcity, and integrating multimodal capabilities. This survey also serves as a roadmap for researchers, practitioners, and policymakers, offering valuable insights into the current state and future potential of large language models and ChatGPT.

Source: IEEE Access

DOI: 10.1109/access.2023.3339553

Authors: Vikas Hassija, Arjab Chakrabarti, Anushka Singh, Vinay Chamola, Biplab Sikdar

Institutions: National University of Singapore, KIIT University, Birla Institute of Technology and Science, Pilani

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,950

OpenAlex ID: W4389332140