How Might We Create Purpose-Built Gen AI Applications?
Vince Conzola, Beau Morley, celtan, Andy Braren
New tools for AI model customization, RAG, agentic AI, MCP, and inferencing allow for new and better workflows. Smaller models can work well with these tools to create purpose-built AI applications that are smarter, faster and less costly. What is the best approach for developers of AI applications to work with these tools? In this Design Thinking workshop, we'll leverage recent user research conducted by Red Hat’s User Experience Design Team to help understand user outcomes around creating AI applications. Participants will be asked to share their experiences and contribute solution ideas in a fun game-like format.
Artificial Intelligence and Data Science
107 (Capacity 20)