Workshop 1 – Building Interdisciplinary Applications Using Large Language Models.
Presentation Type
Workshop
Abstract
In this half-day tutorial, we aim to provide experiential training on how to build machine learning pipelines using pre-trained transformer language models for interdisciplinary data science application. We will start with a quick introduction to Python packages (Pytorch, Scipy, scikit-learn) that are heavily used for machine learning projects. In addition, we will cover the domain knowledge behind individual applications. Then, self-supervised deep learning-based large language models (such as Transformers) will be reviewed with a particular focus on computational biology applications. Finally, we will introduce SreamLit for creating web apps, and ollama package for connecting the LLMs.
Start Date
2-6-2025 1:00 PM
End Date
2-6-2025 5:00 PM
Workshop 1 – Building Interdisciplinary Applications Using Large Language Models.
Pasque 255
In this half-day tutorial, we aim to provide experiential training on how to build machine learning pipelines using pre-trained transformer language models for interdisciplinary data science application. We will start with a quick introduction to Python packages (Pytorch, Scipy, scikit-learn) that are heavily used for machine learning projects. In addition, we will cover the domain knowledge behind individual applications. Then, self-supervised deep learning-based large language models (such as Transformers) will be reviewed with a particular focus on computational biology applications. Finally, we will introduce SreamLit for creating web apps, and ollama package for connecting the LLMs.