Information and how-to guides about Research Computing's Artificial Intelligence resources at Florida Atlantic
OwlChat Assistant allows FAU departments to configure AI assistants with information from databases, files and websites. OwlChat Assistant can be integrated into websites and applications to answer context specific questions from users.
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Open WebUI provides an OpenAI-compatible Rest API. While working with researchers and students, it was discovered that OpenAI's documentation lacks any description of the REST parameters. If you find that these are incorrect, please notify the Research Computing Team via a ticket.
OwlChat (Open WebUI) is an extensible, feature-rich, and user-friendly self-hosted AI platform. It supports various Large Language Models (LLM) runners like Ollama and OpenAI-compatible APIs, with a built-in inference engine for RAG, making it a powerful AI deployment solution. You can get started with Open WebUI by following the guides and resources available on their website.
OwlChat Toolkit (LiteLLM) allows users to integrate their custom and SaaS applications while selecting the best language models for their needs. It provides a unified interface to access multiple language models, including those from OpenAI, Microsoft, and other providers. It also helps in tracking usage and setting budgets for different projects, ensuring cost efficiency.
System One Decision models API user guide. Models use AI but return structured decisions and output typed data or probabilities instead of generating paragraphs of text. Faster and cheaper than LLMs, these models can be integrated into workflows to route data and make decisions.
Quick start guide for Trussed AI API users
This guide details how to integrate the chat.hpc.fau.edu AI model into VS Code using the Continue extension connected to an Open OnDemand / Open WebUI cluster endpoint.