Core Insights - The company, BGI Genomics, is focusing on enhancing the efficiency of labor-intensive interpretation processes through the application of AI large models, which has led to cost reductions [1] - By the first half of 2025, the company aims to complete a full-process layout for improving the efficiency of various gene interpretation stages, with expectations of further cost reductions [1] - In the context of increasingly widespread sequencing technology, analysis and interpretation have become more valuable and critical quality control aspects [1] - AI technology, leveraging large language models, has significantly accelerated the database construction process for genetic disease auxiliary diagnosis [1] - The traditional database construction, which relied heavily on manual literature review, is now more efficiently iterated and updated through the company's AI technology [1] - Although professional personnel are still needed for detailed interpretation and joint analysis, large language models have greatly improved overall analysis efficiency [1]