What question did this study set out to answer?

The aim is to explore the challenges and innovations associated with implementing large language models and artificial intelligence.

April 19, 2026

Implementation of Large Language Models and AI: Challenges and Innovations

PKPrateek Lenin Knox MAMoh Ali PPProf. (Dr.) Sanjay Pachauri

Key Points

The aim is to explore the challenges and innovations associated with implementing large language models and artificial intelligence.
Literature review of AI and LLM applications
Analysis of architectural and implementation techniques
Examination of ethical dilemmas and privacy concerns
Identified major obstacles like data privacy and bias
Discussed current innovations in AI application
Outlined potential strategies for improving AI effectiveness and ethics

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.

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