Vanderbilt's Open Source Amplify GenAI Enterprise Platform

Summary

The video script details the development of an open, enterprise platform at Vanderbilt University for generative AI experimentation across disciplines. It emphasizes the importance of vendor independence, data control, and cost-effective scalability. The platform allows for model selection, quiz creation, template sharing, and integration with Amazon Web Services. It also showcases capabilities for diagramming, visualization, and assistant creation, all aimed at enhancing operational efficiencies and fostering innovation.

Takeaways

• 😀 The video discusses the implementation of an open, enterprise platform at Vanderbilt University to explore generative AI through a chat interface across various disciplines.
• 🔍 The platform is designed to be vendor-independent, allowing for the use of different models that are rapidly evolving in the field of generative AI.
• 💾 Vanderbilt has developed an open-source software system that can be downloaded, set up, and run within an organization's Amazon Web Services account.
• 📚 The platform includes a basic chat interface for generative AI, enabling users to select from different models and vendors.
• 📝 The script demonstrates creating a quiz on generative AI using the platform, showcasing the ability to customize and generate content in a specific format.
• 📑 The platform allows for the creation of templates, which can be used and shared across the institution to streamline content creation.
• 📈 Vanderbilt has deployed the platform at scale, emphasizing the importance of controlling data and integrating it easily.
• 💼 The platform addresses cost concerns by providing a cost-effective solution for institutions at scale.
• 🤖 The script introduces 'assistants', which are vendor-independent implementations similar to open AI GPT, with pre-set knowledge and guardrails.
• 📊 The platform supports various functionalities including quiz creation, template sharing, and the ability to generate diagrams and visualizations.
• 📋 The video also covers the creation of custom chatbots and the use of guardrails or custom instructions to control the responses of these bots.

Q & A

What was the main goal of creating an open Enterprise platform at Vanderbilt?

The main goal was to provide a platform where people from different disciplines could try out generative AI through a chat interface and innovate in various ways.

Why was it important for the interface to be independent of any particular vendor?

It was important to ensure flexibility and the ability to accommodate the rapidly evolving models from different disciplines without being tied to a specific vendor's offerings.

What were the key considerations for Vanderbilt when implementing the generative AI platform?

The key considerations included having control over their data, the ability to integrate data easily, and finding a cost-effective solution at scale for the institution.

Can the platform developed by Vanderbilt be used by other organizations?

Yes, the platform is open-source software that can be downloaded, set up, and run within an organization's Amazon Web Services account.

How does the basic interface of the Vanderbilt platform compare to other generative AI chat interfaces?

The basic interface of the Vanderbilt platform is similar to other generative AI chat interfaces, allowing users to select different models from various vendors.

What customization options are available for creating a quiz on the Vanderbilt platform?

Users can customize the quiz by selecting different models, defining the format, inserting questions, and choosing options, which can then be refined or used as a starting point.

How can the Vanderbilt platform help in sharing and reusing prompts across the campus?

By turning prompts into templates, users can easily share and reuse them across the campus, streamlining the process of creating quizzes or other content.

What is the purpose of creating assistants on the Vanderbilt platform?

Assistants, which are vendor-independent implementations similar to open AI GPT, are created to provide guardrails and knowledge to perform specific tasks, such as creating presentations or answering policy questions.

How does the Vanderbilt platform support the creation of diagrams and visualizations?

The platform has built-in capabilities that allow users to create diagrams and visualizations, enhancing the exploration of information both in text and visually.

What is an example of how the Vanderbilt platform can be used to analyze documents?

The platform can be used to upload and analyze contracts, identify unusual clauses, and even extract information to populate an email client for further action.