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Code generation assistants

Mastering Generative AI Foundation Models for Research

When

1 – 2 p.m., March 27, 2025

Where

Register for in-person and the Zoom link
ai

Large Language Models (LLMs) now serve as powerful code generation assistants, streamlining and enhancing software development. They generate code snippets, propose solutions, and translate code between programming languages.

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

Resources: Workshop Materials

Workshop Sessions:

Contacts

Nick Eddy
neddy@arizona.edu