DNA contains the fundamental information necessary for sustaining life. Understanding how this information is stored and organized has always been one of the biggest scientific challenges of the 20th century. Now, with the help of GROVER, a new large-scale language model trained on human DNA, researchers are expected to decode complex information hidden in the genome. GROVER was developed by the Biotechnology Center at Dresden University of Technology in Germany. It treats human DNA as text and extracts functional information from DNA sequences by learning its rules and context. This new tool is expected to revolutionize genomics and accelerate the development of personalized medicine. The relevant research paper was published in the latest issue of the journal Nature Machine Intelligence. Large language models have developed the ability to use language in multiple contexts through text training. Researchers envisioned using life code DNA as a language and trained a large language model - GROVER. In terms of language, people talk about grammar, syntax, and semantics. For DNA, this means learning nucleotide sequences, etc. Just like the GPT model learns human language, GROVER basically learns the DNA "language". Research has shown that GROVER can not only accurately predict the next DNA sequence, but can also be used to extract biologically meaningful contextual information, such as identifying gene promoters or protein binding sites on DNA. In addition, GROVER also learned about the "epigenetic" process, which refers to heritable changes in gene expression without altering the DNA sequence. GROVER is expected to unlock key information about human nature, disease susceptibility, and response to treatment contained in DNA. Researchers believe that understanding the rules of DNA through language models will help uncover the biological meanings hidden within DNA, thereby driving the development of genomics and personalized medicine. (New Society)