If a customer has an existing model or LLM, synthetic data provides additional data that is rich, labeled, and diverse to fine-tune the AI model. If a client does not have a model, the Synthetic Data Sets are designed to offer quick and privacy-compliant training data to create models from scratch, the vendor stated.
Customers can deploy models on IBM Z and IBM LinuxONE with AI Toolkit for IBM Z and IBM LinuxONE, Cloud Pak for Data on Z, or Machine Learning for z/OS, wrote Elpida Tzortzatos, an IBM Fellow and Z architect, and Tina Tarquinio, IBM vice president, in a blog about the news. They can “perform inference on IBM z16 and IBM LinuxONE 4, leveraging hardware acceleration investments and data gravity to dramatically enhance AI inferencing speed and scale,” the authors wrote.
“In addition customers can enhance predictive AI models and fine-tune LLMs with additional rich and broad data, leading to significant cost savings in areas such as fraud detection and money laundering prevention,” the authors wrote.
