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This workshop guides application developers through the process of ideating, prototyping, building, and refining AI applications in a local development environment using Podman AI Lab. Learn how to run and connect AI models seamlessly while exploring practical topics such as selecting appropriate large language models (LLMs), crafting effective prompts, working with custom data, and benchmarking performance. Dive into Instruct Lab to understand how to fine-tune LLMs for specific use cases. Presented by Praveen Kumar and Ramakrishna Yekulla at DevConf 2025, this hands-on session requires participants to have a laptop with at least 16GB RAM and 8 CPUs, Podman Desktop with the AI Lab extension installed, the parasol-insurance repository cloned locally, the granite-7b model downloaded, and VSCode installed. Additional resources and slides are available through the provided link.
Syllabus
Supercharge AI app development with Podman Desktop - DevConf2025
Taught by
DevConf