Chat Generative Pre-Trained Transformer (ChatGPT): Comprehending its Operational Structure, AI Techniques, Working, Features and Limitations

Ishita Naik, Dishita Naik, Nitin Naik

Research output: Chapter in Book/Published conference outputConference publication

Abstract

ChatGPT has transformed the way machines interact with humans, as it is a significant improvement in the field of generative AI and conversational AI. ChatGPT is a combination of generative AI and conversational AI, and it is built on an underlying large language model which can create new contents similar to human-generated contents and simulate human-like conversations. It has the ability to understand the context of a conversation and respond accordingly, and learn to adapt from user feedback. ChatGPT is a new AI tool and is still evolving very rapidly, its successive models are gradually becoming more advanced and are capable of generating highly complex, coherent and credible text, thus making it a valuable tool for a wide range of applications. Therefore, this paper will present a comprehensive study of ChatGPT covering its operational structure, key AI techniques, working, features and limitations. This comprehensive study will provide users a detailed insight of ChatGPT in order to understand its core concepts.
Original languageEnglish
Title of host publication2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
PublisherIEEE
ISBN (Electronic)9798350343274
ISBN (Print)9798350343281
DOIs
Publication statusPublished - 19 Mar 2024
EventIEEE 3rd International Conference on ICT in Business Industry & Government - Indore, India
Duration: 8 Dec 20239 Dec 2023

Conference

ConferenceIEEE 3rd International Conference on ICT in Business Industry & Government
Abbreviated titleICTBIG 2023
Country/TerritoryIndia
CityIndore
Period8/12/239/12/23

Keywords

  • ChatGPT
  • Generative Pre-training Transformer
  • GPT
  • LLM
  • Large Language Model
  • Reinforcement Learning from Human Feedback
  • RLHF
  • SFT
  • Supervised Fine-Tuning
  • NLP
  • Natural Language Processing
  • Generative AI,
  • Conversational AI
  • PPO
  • Proximal Policy Optimization
  • Unsupervised Pre-training
  • Reward Model

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