AI/ML: Persistent workspaces for multiple users
The first challenge for an AI/ML practitioner is gathering the necessary data to feed the process. The solution? Advanced planning algorithms that organize data better than humans in far less time.
GPT4All is an open source tool that lets you deploy large language models locally without a GPU. Learn how to integrate GPT4All into a Quarkus application.
This article explores leveraging AI to generate Apache Camel routes using ChatGPT.
Get up and running with Ansible Lightspeed, a new generative AI service for Ansible automation, and the Ansible VS Code extension by Red Hat.
Discover the power of AI/ML in software testing with Bunsen, a Python-based toolkit that lets you analyze and report test-suite logs using an SQLite database.
Walk through the basics of fine-tuning a large language model using Red Hat OpenShift Data Science and HuggingFace Transformers.
Learn how to use the Red Hat OpenShift Data Science platform and Starburst to develop a fraud detection workflow with an AI/ML use case.