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

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Feb 6th, 1:00 PM Feb 6th, 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.