Artificial intelligence

Learn how to build a ModelCar container image and deploy it with OpenShift 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.

In this episode, Senior Distinguished Engineer Dan Walsh discusses tips and tricks for writing SELinux policies and how you can use containers to your advantage.

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!

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 Podman and containers when it comes to Systemd, and how technologies like Quadlet abstracts the complexities of running containers under Systemd, featuring Principal Software Engineer Ygal Blum.

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.

Learn about the alpha release of vLLM V1, a major upgrade to vLLM’s core architecture.

Learn how to integrate Model Context Protocol (MCP) with LLMs using Node.js

The Red Hat Node.js Team shares their review of 2024 and what lies ahead for

Integrating large language models into applications is an important skill for

Explore the benefits of open source AI models and tools and learn how Red Hat OpenShift AI helps you build innovative AI-based applications in this e-book.

Advancing AI efficiency is more critical than ever, and sparsity has proven to be a cornerstone in this pursuit.

Learn the basics of Kubernetes, Ansible, AI, and more with these popular learning paths, and get hands-on experience using the no-cost Developer Sandbox.

This year's top articles on AI include an introduction to GPU programming, a guide to integrating AI code assistants, and the KServe open source project. 

In our previous blog post, we introduced the RamaLama project, a bold initiative

The Red Hat Developer Hub team recently joined the vibrant Backstage community

Join us as we get ready for the holidays with a few  AI holiday treats! We will demo AI from laptop to production using Quarkus and LangChain4j with ChatGPT, Dall-E, Podman Desktop AI and discover how we can get started with Quarkus+LangChain4j, use memory, agents and tools, play with some RAG features, and test out some images for our holiday party.

Come and join us for our year-end review as we enjoy the company of a few guests, discuss things that happened in 2024, and talk about what we think 2025 will bring. Feel free to bring your topics to the discussion and we’ll make sure to ask the guests what their thoughts are on your favorite topics.

Meet some of the winners from the 2024 Red Hat and Intel AI Hackathon. They will review their Gen AI or an AI Retrieval Augmented Generation (RAG) application built on the Red Hat OpenShift AI environment on AWS with Intel’s Xeon Processor AMX features. Learn more about their process and how they did this!

Learn how a developer can work with RAG and LLM leveraging their own data chat for queries.

Using a chatbot to call a Node.js function inside a Large Language Model.

Explore the evolution and future of Quarkus, Red Hat’s next-generation Java framework designed to optimize applications for cloud-native environments.