Textual Intelligence

2A Comprehensive Study of Large Language Models

Pawan Kumar*, Anu Chaudhary, Shashank Sahu, Mradul Kumar Jain and Updesh Kumar Jaiswal

Ajay Kumar Garg Engineering College, Ghaziabad Uttar Pradesh, India

Abstract

Large language models (LLMs) are based on artificial intelligence and works on deep learning algorithms and performs various types of natural language processing (NLP) tasks. LLMs accept user queries as input, process, understand, and translate user task and finally generate human-like text output. LLM models work like a human brain and produce text output that is identical to written by human’s being. LLMs use transformer models and are trained on large text datasets and predict output, which is easily understood by humans. LLMs make it possible to analyze huge amounts of unstructured data using just natural language. A well-trained LLM can “read” through thousands of pages of text and come back with the insights you asked for within just a few seconds. Due to the rapid growth and development in last few years in the field of LLM research and it has become challenging job for researcher to make out bigger picture of the advances research in this direction. Considering the rapidly imminent excess of literature research on LLMs, help to researcher to take incisive benefits from a comprehensive overview of the novel developments in this field. The research chapter gives an inclusive overview of the present LLMs. The research also included relevant background concepts ...