Transformer model

The Transformer model has revolutionized text data processing and shows potential beyond language tasks. Initially used for translation, it has proven effective in capturing mutations and building vocabularies, highlighting its capabilities.

 Although results may vary based on input data, the low evaluation loss supports the idea that NLP can benefit genetics. The next step involves combining Transformers with GAN networks to generate larger datasets for predicting and identifying new variants.

 With GANs already successful in creating biologicalsequences, this cross-disciplinary approach could lead to significant breakthroughs in understanding complex problems.