Sit down to code and discuss how to build AI applications with DataLab's scientists
Do you need help with an AI/ML coding problem or would you like to discuss AI technology?
Put your knowledge into practice through hands-on experience with cutting-edge AI tools. In this Meet-Up series, we will spend an hour each week developing and testing advanced AI topics, including fine-tuning LLMs, creating vector databases for retrieval-augmented generation applications, and implementing distributed training with PyTorch.
Please attend our in-person AI Makerspace Meet-Ups @ Snakes & Lattes. Enjoy a coffee or beverage of your choice.
Enrique is a computational research scientist in the Department of Computer Science and the Data Science Institute. He has vast experience developing A.I. applications for the medical sciences and loves to work with deep learning models.
Mithun is a research scientist in the Data Science Institute. His PhD is in Artificial Intelligence, with a specialization in Natural Language Processing. He also has 10+ years of experience the software industry leading research and development teams. He is currently heading the team developing UofA's own homegrown LLM distribution platform: AIVerde.
Carlos is a computational and data scientist educator at the Data Science Institute. He has broad experience in computational sciences, applied mathematics and data science (machine learning and AI applications).
Sessions will run from Jan 28th through Mar 25th of 2025.
- When: Tuesdays @ 3:30-4:30 p.m.
- Where: Snakes & Lattes Tucson (988 E University Blvd, Tucson, AZ).
| Date | Topic | Host | Notes | Recording |
|---|---|---|---|---|
| Session 1: 10/04 | Distributed GPU training with PyTorch | Enrique | Link | YouTube |
| Session 2: 10/11 | Fine-tuning T5 with HuggingFace | Enrique | Link | YouTube |
| Session 3: 10/18 | Running Ollama on Your Laptop and HPC | Mithun | Link | YouTube |
| Session 4: 10/25 | Information Extraction witn LLMs | Enrique | Link | YouTube |
| Session 5: 11/01 | Cyverse+ AI Verde + prompt engineering | Mithun | Link | YouTube |
| Session 6: 11/08 | Parameter Efficient Fine Tuning (PEFT) of Transformer Models | Enrique | Link | YouTube |
| Session 7: 11/15 | Dense passage retrieval | Mithun | Link | |
| Session 8: 11/22 | Review+wrap up + some handy tools | Mithun | link |
Note
Topics are subject to change based on the requests of the audience
Created: 10/01/2024 (E. Noriega)
Updated: 01/20/2025 (C. Lizárraga)
DataLab, Data Science Institute, University of Arizona.
