most citedSeveral categories of Large Language Models (LLMs): A Short Survey

33 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 6 cited

Accelerating Neural Network Training: A Brief Review

Sahil Nokhwal, Priyanka Chilakalapudi, Preeti Donekal +3

The process of training a deep neural network is characterized by significant time requirements and associated costs. Although researchers have made considerable progress in this a…

quant-ph2023★ 6 cited

Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms

Sahil Nokhwal, Suman Nokhwal, Saurabh Pahune +1

In this pioneering research paper, we present a groundbreaking exploration into the synergistic fusion of classical and quantum computing paradigms within the realm of Generative A…

cs.CR2023★ 8 cited

EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm

Sahil Nokhwal, Saurabh Pahune, Ankit Chaudhary

The aim of steganographic algorithms is to identify the appropriate pixel positions in the host or cover image, where bits of sensitive information can be concealed for data encryp…

cs.CY2023

A Model for Calculating Cost of Applying Electronic Governance and Robotic Process Automation to a Distributed Management System

Bonny Banerjee, Saurabh Pahune

Electronic Governance (eGov) and Robotic Process Automation (RPA) are two technological advancements that have the potential to revolutionize the way organizations manage their ope…

cs.CL2023★ 33 cited

Several categories of Large Language Models (LLMs): A Short Survey

Saurabh Pahune, Manoj Chandrasekharan

Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various…