Akshay Saswadkar
Senior Software Engineer with expertise in containerization, RHEL, Sysadmin, and Git. Focused on delivering solutions that enable hardware, software, and cloud partners to seamlessly certify their products and services.
Red Hat
Job title –Senior Software Engineer
Session
Abstract:
In this session, we will walk through “How to leverage the AI Lab extension in Podman Desktop to easily build AI applications in a local environment. “
Participants will gain hands-on insights into using the extension and custom models to create AI-powered applications and understand its potential in accelerating AI workflows.
Detailed Activities:
This workshop provides a practical, step-by-step guide on how developers can use the AI Lab extension in Podman Desktop to build and deploy AI applications.
The process will cover:
1. Introduction to Podman Desktop and AI Lab Extension: Understanding the toolset and how it simplifies working with LLMs.
2. Setup and Prerequisites: How to install Podman Desktop and set up the AI Lab extension for local development.
3. Building and Experimenting with Models: A hands-on walkthrough of integrating LLMs, training them, running AI applications within Podman, and using the custom models that are trained by the instructlab.
4. Practical Examples: Practical, real-world AI use cases such as,
- Instructlab
- Creating new knowledge
- Training the model locally
- Using the newly trained model.
- Downloading the model from Huggingface
- Podman Desktop
- Running the RAG chatbot with existing models
- Importing the custom model
- Running the RAG chatbot with the custom models
Detailed Agenda
- Introduction & Setting up AI Lab extension in Podman Desktop: [15 min]
- Demo: Creating new Knowledge and training model [15 min]
- Hands-On Lab: Deploying RAG chatbot with existing and custom model in Podman Desktop [45 min]
- Q&A and Wrap-Up [15 min]