Advanced Language Models and Architectures Exploring Their Applications in Modern Intelligent Systems
Manicka Senthamarai N, Kiran Sankar · 2025
Advanced language models have revolutionized various domains by enhancing the efficiency and accuracy of natural language processing (NLP) tasks. These models, driven by deep learning techniques such as transformers, have paved the way for innovative applications in areas like machine translation, sentiment analysis, conversational AI, and content generation. In particular, the integration of these models into intelligent systems has facilitated personalized search engines, real-time decision-making, and automated content creation. However, challenges related to ethical considerations, model bias, and fairness remain critical concerns, especially in sensitive domains like healthcare, legal systems, and education. This chapter explores the diverse applications of advanced language models, focusing on their impact on real-world systems, while highlighting key ethical dilemmas and proposing strategies for mitigating biases. A deeper understanding of these advancements offers valuable insights into the evolving landscape of NLP and intelligent systems.