International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
Chat Generative Pre-Trained Transformer: An Overview Kaushal Kumar Jha1 ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This paper presents an overview of CHAT GPT which is a natural language processing “NLP” device driven through Artificial Intelligence era that allows you to have human-like conversations and lots more with the chatbot. The paper discusses the records and the past of GPT, consisting of its generative pre-trained transformer model, its capability to perform a huge range of language-primarily based tasks, and the way ChatGPT makes use of this generation to function as a experienced or enlightened chatbot. It has been used throughout numerous fields, from NLP to consumer level service to content writing service. This observation and evaluation of ChatGPT discover its origins, how it works, and its impact on different fields of study. This paper examines pros and cons of ChatGPT, in addition to its limitations and functions. It also discusses the effect of ChatGPT on all kinds of services. Key Words: ChatGPT, Artificial Intelligence, NLP, Chat Bot, Open AI, Generative Pre-trained Transformer. 1. INTRODUCTION ChatGPT, or Chat Generative Pre-Trained Transformer, is a type of artificial intelligence language model developed by the company OpenAI. It is based on the model GPT-3.5 architecture and is designed to respond to text-based inputs in a conversational manner like human.
Fig 1: Home Page of Chat GPT Chat GPT works by processing input text and generating responses that are intended to imitate human conversation. It is pretrained on a large corpus of text data, which allows it to generate responses that are many times highly relevant and accurate. One of the key edges of Chat GPT is its ability to learn from a wide variety of sources. It can be trained on text data from a variety of domains, including social media, news articles, and scientific papers. This allows it to generate responses that are highly specific to the topic being discussed over the internet. Chat GPT has several potential applications in a wide range of fields, including customer service, education, entertainment and many more. It can be used to generate chatbot responses, provide language translation services, even write news articles, business plans, marketing, and sales tips and many more. One of the main challenges facing Chat GPT and other Artificial Intelligence language models is the issue of bias. Because these models are trained on large amounts of text data, they can unintentionally learn biases that are present in the data. For example, a model trained on social media data may learn to generate responses that are biased towards certain demographic groups.
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