students collaborating at a table

 

We strive to make AI technologies accessible,demonstratingtheir utility in research, learning, and daily tasks, ultimatelyempoweringthe campus to intelligently contribute to an AI-empowered future. 

What are the programs and services?

  • Offering structured training and educational programs, such as workshops and reading groups, that help individuals and teams develop practical skills in prompt engineering and responsible AI.
  • Guide partners through funded projects and quick-win application development, ensuring they can effectively leverage AI + machine learning for their specific needs.
  • Facilitate knowledge sharing and collaboration through open forums, office hours, and research consultations where we help brainstorm and experiment with AI solutions.
  • Sponsor key initiatives by providing resources and a platform for showcasing innovative machine learning + AI projects as well as research across the university.
  • Provide hardware and software access to run open-source LLMs

How to contact and visit us?

We are located in the Renne Library on the second floor in Room 220.

Office Hours

  • Tuesday, 10 a.m. to 11 a.m.
  • Wednesday, 3 p.m. to 4 p.m.

If you have questions or want to talk about how we can work with you, reach out to us directly at ask.lib.montana.edu

What hardware and software is available for use?

  • Hardware:
    • PC Specifications:
      • CPU: Intel Core Ultra 9 285 (2.50 GHz)
      • GPU: NVIDIA GeForce RTX 5070 TI
      • RAM: 192 GB DDR5-5200
      • Storage: 8 TB M.2
  • Software:
    • LM Studio (local open-source LLMs in a low/no code environment)
    • Ollama (local open-source LLMs in either a no code environment or integrated into Python code)
    • WhisperX (local audio/video transcription)

Who are the people working in the lab?

Student Fellows

  • Connor McLean
    • Who am I?:  I am a Junior studying Computer Science and Business Management. I'm from Colorado so I love almost all the classic outdoor activities, though I am not much of a skier. I liked the idea of AI, specifically generative LLMs, and decided to pursue a complete computer science degree to support that interest, which captures my all-in approach to learning. I'm just excited to be here!
    • Why did I want to work in the AI Lab?: AI has been adopted at an unprecedented rate. Watching those around me rapidly progress from treating it as a novelty to relying on it to pass their classes and do their coursework made me curious: What is actually happening when you use generative AI? In addition to the actual math and programming behind it, I am interested in learning about the impact it has on myself and my peers, the reliability of the information it provides, and the potential risks and rewards of the world's newfound commitment to AI.
  • Danie Huelva
    • Who am I?: I am a graduating Senior studying Computer Science. After graduation I am thinking of pursuing a career around AI. Outside of school, I enjoy socializing and playing board games with friends, as well as maintaining an active lifestyle through weightlifting. 
    • Why did I want to work in the AI Lab?: I didn’t really grow up as a techy person. I owned my first ever laptop freshman year of college and did not know coding at all, as I was about to start my computer science degree. Despite that, I’ve always been drawn to math and how it can be applied to the real world. I am pursuing computer science with a focus on AI as it fascinates me how these models operate on aspects of human intelligence, all grounded in mathematical principle. 

Ambassadors

  • Jason Clark
  • James Espeland
  • Ben Hager
  • Nathan Lee
  • Sara Mannheimer
  • Taylor Moorman
  • Jakob Schultz