Workshop Zero: About the Challenge

Dr. Juan Gutiérrez

Saturday

October 5 12:00-12:30pm

Base Camp: “Weston Ballroom”

An overview and deep-dive into the data set challenge for the Fall 2024 Datathon presented by Professor and Chair of the Math Department of UTSA, Dr. Juan Gutiérrez.

Technical Use of Large-Language Models (LLMs) (Open for All)

Saturday

October 5 2:00-3:00pm

Base Camp: “Weston Ballroom”

Large language models (LLMs) are powerful artificial intelligence (AI) tools that can be deployed in multiple settings to generate computer programs, typesetting (e.g. LaTeX), summarization of documents, specialized text, etc. There are several well-known tools offer an easy point of access to LLMs, e.g. OpenAI’s ChatGPT,  Anthropic’s Claude, Llama, etc. However, for technical tasks, it might be necessary to programmatically create an ensemble of LLM agents using an application programming interface (API). In this session, you will receive API keys for OpenAI and Anthropic. You will learn how to deploy an ensemble of agents, how to compare outputs, and how to personalize agents to accomplish technical tasks.

Participants must complete the step-by-step guide available at: tinyurl.com/2024RowdyDatathonDoc1

Python 101 (Beginner)

Bilal Siddiqui

Saturday

October 5 3:00-4:30pm

Room 230

Bilal Siddiqui is an Assistant Professor of Instruction at UTSA, Multidisciplinary Studies, and previously served as president of CSGRAD. His research has focused on the intersection of parameter efficient neural networks and edge computing. He is working towards enabling highly accurate models on extremely small hardware, which helps democratize AI.

Join Dr. Bilal for a workshop on the coding language Python! No prior coding knowledge is necessary to attend. This workshop will begin by covering Python 3.X syntax, semantics, and data types. Bilal will demonstrate exploratory data analysis using pandas and matplotlib before closing by building and using a linear model in with scikit-learn. Be sure to follow the installation guide for Python, Pip, and Visual Studio Code, if not already installed.

R 101 (Beginner)