Function calling with LLMs

Mastering Generative AI Foundation Models for Research

When

1 – 2 p.m., March 20, 2025

Where

Register for in-person and the Zoom link
ai

There are two ways to implement function calling with open-source large language models (LLMs). When an LLM doesn't natively support function calling, you can combine prompt engineering, fine-tuning, and constrained decoding.

Workshop Vision
Empowering researchers to leverage generative AI as a powerful, flexible research companion across scientific domains.
Key Skills Developed
 
  • Computational AI Infrastructure Management
  • Advanced Prompt Engineering
  • High-Performance Computing (HPC) Integration
  • Multimodal AI Applications
  • Practical AI Deployment Strategies
  • Code Generation and Optimization
  • Ethical AI Implementation
Core Focus: Foundation Models in Research
 
  • Understanding Foundation Models
  • Generative AI as a research catalyst

Target Audience

  • Graduate students across all disciplines
    Researchers seeking AI integration
  • Academics exploring computational technologies
  • Interdisciplinary innovation seekers

Key Workshop Modules

  • Prompt Engineering for Research
  • Multimodal AI Applications
  • Ethical AI and Responsible Use
  • Computational Infrastructure

Learning Outcomes

  • Confident foundation model utilization
  • Advanced research methodology skills
  • Computational thinking transformation
  • Practical AI deployment capabilities

SERIES: Mastering Generative AI Foundation Models for Research
When: Thursday, 1:00 - 2:00 PM, January 30 - March 27, 2025 
Where: REGISTER for Zoom link  Weaver Science-Engineering Library, Rm 212 and on Zoom
Instructor: Enrique Noriega
YouTube: UArizona DataLab and session links

Workshop Sessions:

Contacts

Enrique Noriega
enoriega@arizona.edu