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AIXworkbench

From Wikiversity

AIXworkbench || AboutPaper: Building the WorkbenchWorking Groups: June 2025Working Groups: July 2025Wikiversity Pages

About this Wikiversity Project

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This Wikiversity project is designed to support the development of the AIXworkbench, and to provide a forum to report on its development and deployment.

Project Co-Directors

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  • Steve Schneider. Professor, SUNY Poytechnic Institute. Wikipedia User: stevesuny email: steve@sunypoly.edu
  • Asela Abeya. Lecturer, SUNY Poytechnic Institute. Wikipedia User: Abeyaa email: abeyaa@sunypoly.edu

A Brief Introduction: AIX + Open WebUI = AIXworkbench

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AIX is developing a community and a platform to support individuals and teams of users using LLM models, both offline and online, in a private, secure, responsible and personally managed environment. The platform is designed to support individuals and teams, as well as serve as a platform for researchers examining user experiences.

The platform is imagined as a structured and customized installation of Open WebUI. Open WebUI is an open-source interface for interacting with AI models like ChatGPT, Claude, and local Ollama models. More broadly, it is an "extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution."[1]

The AIX will add policy documents, knowledge bases, and other shared resources to enable individuals, teams and organizations to deploy Open WebUI in a secure, responsible and managed environment. The Personal AIXworkbench allows a single user on one device to query multiple models, whether they are stored locally or accessed online via an API. The Team AIXworkbench is designed for collaborative environments, enabling 2 to 25 users to access a shared device through a web application and query both local and online models. Beyond model access, the AIXworkbench provides extensive management of prompt and response interactions. This includes sophisticated tools for optimizing and customizing prompt parameters, alongside comprehensive archiving of user, session, and model metadata. Furthermore, it serves as a robust platform for conducting experiments, facilitating the comparison of different models and the precise testing of various parameters.

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The Workbench project has several components:

AIXworkbench || AboutPaper: Building the WorkbenchWorking Groups: June 2025Working Groups: July 2025Wikiversity Pages

  1. "🏡 Home | Open WebUI". openwebui.com. Retrieved 2025-06-16.