Analysis of the Innovation and Limitations of Artificial Intelligence in Language Generation: A Case Study of ChatGPT

With the rapid development of technology, a large number of artificial intelligence models have emerged. Artificial intelligence has received widespread attention in language generation, but there are still shortcomings in natural language processing. To promote the widespread application of artificial intelligence, this article, represented by ChatGPT, uses qualitative research methods (text analysis) to evaluate the performance of artificial intelligence in article translation and simulated dialogue, and analyzes its innovation and limitations in language generation. This article analyzes that artificial intelligence has innovation in vocabulary richness and contextual adaptability, but has limitations in semantic understanding and logical coherence. Based on this, this article proposes model optimization in technology to break through technical limitations; strengthen regulatory measures in law and formulate relevant rules; emphasize the role of users in applications and enhance human-computer interaction modes. In the future, the breadth and depth of research can be further expanded to promote the efficient application of language generation.