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Implementation of Large Language Models and AI: Challenges and Innovations
Subject area: Science,Engineering and Technology · Area of research: Machine Learning
DOI: https://doi.org/10.64388/IREV9I10-1716508
Abstract
Artificial Intelligence (AI) and Large Language Models (LLMs) have revolutionized the way robots comprehend, analyze, and produce human language. LLMs are now essential to many contemporary AI applications, from chatbots to code creation and decision-making systems. However, there are a number of substantial obstacles to its application, such as data privacy problems, bias, ethical dilemmas, and computational needs. The architecture, implementation techniques, difficulties, and new developments in LLMs and AI systems are all examined in this study. It also outlines potential paths for improving the effectiveness, morality, and accessibility of AI.
How to cite this paper
@article{1716508,
author = {Prateek Lenin Knox, Moh Ali, Prof.(Dr.) Sanjay Pachauri},
title = {Implementation of Large Language Models and AI: Challenges and Innovations},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1670-1673},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716508.pdf},
abstract = {Artificial Intelligence (AI) and Large Language Models (LLMs) have revolutionized the way robots comprehend, analyze, and produce human language. LLMs are now essential to many contemporary AI applications, from chatbots to code creation and decision-making systems. However, there are a number of substantial obstacles to its application, such as data privacy problems, bias, ethical dilemmas, and computational needs. The architecture, implementation techniques, difficulties, and new developments in LLMs and AI systems are all examined in this study. It also outlines potential paths for improving the effectiveness, morality, and accessibility of AI.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716508}
}