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AI Resources at ODU CS

The CS Department provides access to Artificial Intelligence (AI) resources, primarily focusing on Large Language Models (LLMs), to support student learning, projects, and research.

ChatCS

ChatCS is the CS Systems Group's AI assistant. ChatCS can help with various topics, from connecting to the VPN to learing about CS classes and degree options. Check it out at ai.cs.odu.edu !

  • Note: Like all LLMs, ChatCS can make mistakes. ChatCS gets its knowledge from this wiki and the ODU website, so be sure to verify its responses.

CS AI Service (chat.cs.odu.edu)

To make powerful AI models readily available, the department hosts its own AI service. We run the models for you!

🚀 Access the service here: chat.cs.odu.edu (Link requires login)

Features:

  • Availability: Accessible to all CS Students.
  • Authentication: Sign in using your ODU CS Account credentials.
  • Variety of Models: Access to different LLMs, including some with multimodal capabilities (understanding images, etc.).
  • Web Interface: An easy-to-use chat interface powered by Open WebUI is available directly at chat.cs.odu.edu .
  • API Access: Programmatic access is provided via an OpenAI-style API. This allows you to integrate LLM capabilities directly into your code and projects. For more info, visit chat.cs.odu.edu/docs

Running LLMs Locally (Self-Managed)

For smaller models and experimentation on personal hardware, tools like ollama can be used to run LLMs locally.

  • Ollama: A tool designed to simplify running LLMs on your own computer.
    • Relatively easy to set up.
    • Runs on various operating systems (macOS, Linux, Windows).
    • Can integrate with interfaces like Open WebUI.
    • Provides an OpenAI-compatible API endpoint for local development.
  • Note: Running models locally depends heavily on your computer's resources (RAM, VRAM, CPU/GPU). This is a self-managed option distinct from the department-hosted chat.cs.odu.edu service.

Training and Advanced Use

For students needing more control or engaging in research involving AI model training or fine-tuning, the department offers computing resources:

  • JupyterLab:
    • The department provides access to JupyterLab environments, often used in conjunction with the GPU servers for developing, training, and experimenting with AI models.
    • JupyterLab run the department's GPU Servers. All students have access to a GPU Slice, as well as 15GB of storage.
    • More resources can be allocated upon request.
    • Try it out at jupyter.cs.odu.edu

Support

For questions or issues regarding the CS AI Service (chat.cs.odu.edu), GPU servers, or JupyterLab access related to AI, please contact root@cs.odu.edu 📧 or consult your course instructor or faculty advisor.

Chat with Archibald

Disclaimer

Disclaimer: Archibald is an AI assistant for the ODU CS Systems Group. Information provided is based on internal documentation and policies. The responses are automatically generated and may not always be accurate or complete. The prompts you provide will be used to further develop our AI in the hopes of generating better answers.