Leveraging Large Language Models (LLMs) and Advanced Machine Learning Techniques: A Comprehensive Review

Abstract

Large Language Models (LLMs) such as OpenAI's GPT, Google's BERT, and others have transformed the field of natural language processing (NLP) and artificial intelligence (AI) in recent years. These models, built on deep learning and transformer architectures, demonstrate remarkable capabilities in understanding, generating, and interacting with human language. This review paper explores the significance of LLMs, their underlying architectures, training strategies, and the integration of advanced machine learning (ML) techniques. Furthermore, we analyze their applications, ethical considerations, challenges, and future prospects. The goal is to provide a comprehensive understanding of how LLMs leverage modern ML techniques to push the boundaries of AI and NLP.