Red Hat AI

Let's take a look at how to effectively integrate Generative AI into an existing application through the InstructLab project, an open-source methodology and community to make LLM tuning accessible to all! Learn about the project, and how InstructLab can help to train a model on domain-specific skills and knowledge, then how Podman's AI Lab allows developers to easily setup an environment for model serving and AI-enabled application development.

The Konveyor community has developed "Konveyor AI" (Kai), a tool that uses Generative AI to accelerate application modernization. Kai integrates large language models with static code analysis to facilitate code modifications within a developer's IDE, helping transition to technologies like Quarkus efficiently. This video provides a short introduction and demo showcasing the migration of the Java EE "coolstore" application to Quarkus using Konveyor AI.

Welcome back to Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! Let's talk about tips & tricks when writing SELinux policies, and how you can use containers to your advantage! This weekly series will bring in guests from around the industry to highlight innovation and things you should know, and new episodes will be released right here, on the Red Hat Developer channel, each and every Wednesday at 9am EST! Stay tuned, and see you in the next episode!

Welcome to the new Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! This weekly series will bring in guests from around the industry to highlight innovation and things you should know, and new episodes will be released right here, on the Red Hat Developer channel, each and every Wednesday at 9am EST! Stay tuned, and see you in the next episode!

Kickstart your generative AI application development journey with Podman AI Lab, an open-source extension for Podman Desktop to build applications with LLMs on a local environment. The Podman AI Lab helps to make AI more accessible and approachable, providing recipes for example use cases with generative AI, curated models sourced from Hugging Face, model serving with integrated code snippets, and a playground environment to test and adjust model performance. Learn more on Red Hat Developer https://developers.redhat.com/product... and download Podman Desktop today to get started!

Let's take a look at how you can get started working with generative AI in your application development process using open-source tools like Podman AI Lab (https://podman-desktop.io/extensions/...) to help build and serve applications with LLMs, InstructLab (https://instructlab.ai) to fine-tune models locally from your machine, and OpenShift AI (https://developers.redhat.com/product...) to handle the operationalizing of building and serving AI on an OpenShift cluster.

Model Context Protocol (MCP) is a protocol that allows intergratrion between