Training mRNA Language Models Across 25 Species for $165

1. 1Train a CodonRoBERTa-large-v2 model for codon-level language modeling
2. 2Scale the model to 25 species and train 4 production models in 55 GPU-hours
3. 3Build a species-conditioned system to improve model performance
4. 4Evaluate the model's performance using metrics such as perplexity and Spearman CAI correlation

Bioinformatics and AI researchers can benefit from this development, as it enables the training of protein AI pipelines across multiple species, but they must also consider the limitations and potential biases in the training data

💡 Despite advancements in training mRNA language models, limitations in training data and understanding of biological mechanisms remain, highlighting the need for further research and development

💡 Train mRNA language models across 25 species for $165! But what are the limitations? #AI #bioinformatics