This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with Python is necessary, and basic knowledge about ML workflows is preferred.

At the end of this workshop, you WILL be comfortable with loading, inferencing and experimenting with state-of-the-art LLMs in Python, and making small changes to suit your research interests in Genomics. You WILL NOT be exposed to the internal architecture of LLMs and training your own models.