Supercharge your cloud-native applications with Generative AI
What if your AI knew your company's private data? Learn how to build cost-effective, enterprise-aware models using the RAG pattern.
#1about 7 minutes
The developer's journey for building AI applications
An overview of the AI application lifecycle from prototyping to production and the advantages of using local models for cost, data privacy, and customization.
#2about 10 minutes
Prototyping AI applications locally with Podman AI Lab
A hands-on demonstration of using Podman AI Lab to run local models, start applications from recipes, and integrate AI into both Python and Java code.
#3about 5 minutes
Using RAG to enhance models and scale to production
An explanation of the Retrieval-Augmented Generation (RAG) pattern for adding custom data to models and an overview of the MLOps stack needed for enterprise deployment.
#4about 11 minutes
Deploying a RAG-enabled chatbot on a Kubernetes platform
A complete walkthrough of deploying a RAG-enabled application, including ingesting documents into Elasticsearch, serving a model, and running the final container on OpenShift AI.
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Matching moments
03:16 MIN
Introducing Podman AI Lab for generative AI development
Containers and Kubernetes made easy: Deep dive into Podman Desktop and new AI capabilities
00:54 MIN
Generative AI use cases and cloud provider limitations
Generative AI power on the web: making web apps smarter with WebGPU and WebNN
02:24 MIN
Navigating the overwhelming wave of generative AI adoption
Developer Experience, Platform Engineering and AI powered Apps
02:15 MIN
The evolution of generative AI from experimentation to production
Efficient deployment and inference of GPU-accelerated LLMs
02:55 MIN
Introducing Spring AI for generative AI applications
Building AI-Driven Spring Applications With Spring AI
01:30 MIN
Overlooked challenges of running AI applications in production
Chatbots are going to destroy infrastructures and your cloud bills
01:06 MIN
Moving beyond hype with real-world generative AI
Semantic AI: Why Embeddings Might Matter More Than LLMs
01:27 MIN
Using AI to reimagine the developer experience
AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!
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