Natural Language Processing Task

Natural Language Processing (NLP) research currently focuses heavily on leveraging Large Language Models (LLMs) to improve the accuracy and efficiency of various tasks. Key areas of investigation include mitigating LLMs' susceptibility to hallucinations (generating inaccurate information), optimizing their deployment across different hardware platforms (including edge devices), and developing robust evaluation methods that go beyond simple metrics. These advancements are significant because they address critical limitations of LLMs, paving the way for more reliable and accessible NLP applications in diverse fields like healthcare, fraud detection, and machine translation.