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.
AI/ML resources
Fine-tune large language models using OpenShift Data Science
Walk through the basics of fine-tuning a large language model using Red Hat OpenShift Data Science and HuggingFace Transformers.
How to use OpenShift Data Science for fraud detection
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.
Why GPUs are essential for AI and high-performance computing
Learn why graphics processing units (GPUs) have become the foundation of artificial intelligence and how they are being used.
Perform inference using Intel OpenVINO Model Server on OpenShift
In this article, you will learn how to perform inference on JPEG images using the gRPC API in OpenVINO Model Server in OpenShift. Model servers play an important role in smoothly bringing models from development to production. Models are served via network endpoints which expose an APIs to run predictions.
Boost OpenShift Data Science with the Intel AI Analytics Toolkit
Intel AI tools save cloud costs, date scientists' time, and time spent developing models. Learn how the AI Kit can help you.
Use OpenVINO to convert speech to text
OpenVINO helps you tackle speech-to-text conversion, a common AI use case. Learn more.
