Research on Empowering Book Content Index Compilation with Generative Artificial Intelligence
The rapid development of generative artificial intelligence technology has brought transformative changes to book content index compilation.This article introduces the basic principles and technology of generative AI,systematically analyzing the limitations of traditional book content indexing methods and the challenges for future advancement.By exploring the application of generative AI in book content analysis,the article discusses how generative AI can enhance content index compilation,specifically by improving indexing accuracy and efficiency,enhancing indexing intelligence and personalization,and enabling compatibility and interoperability across multiple languages and formats.Finally,to maximize the effectiveness of generative AI in producing high-quality book content indexes,the article outlines the specific process for using this technology and offers strategies for quality assurance.These strategies include ensuring high-quality training data,maintaining input diversity,selecting and fine-tuning appropriate models,incorporating essential human oversight and verification,and prioritizing security and privacy protection.This provides valuable guidance for the application of generative AI in book content indexing.
万方数据
维普
