Revolutionising Translation with AI: Unravelling Neural Machine Translation and Generative Pre-trained Large Language Models

This work explores the technical advancements in artificial intelligence (AI) for translation, with a focus on neural machine translation (NMT) and large language models (LLMs) as primary drivers of progress. The analysis encompasses foundational deep learning techniques, the influential Transformer model, and the strengths and weaknesses of NMT and LLMs in the context of translation. Furthermore, practical recommendations are offered for translation educators and developers on how to harness the power of AI effectively while addressing potential challenges. The aim is to enhance our understanding of AI-driven translation technologies and equip language professionals with the knowledge needed to make informed decisions when using these cutting-edge tools.