The company also unveiled RHEL AI, which combines open-source language models with tools from the InstructLab project, and InstructLab, which allows domain experts to enhance language models by contributing their knowledge. The InstructLab project uses a novel method called LAB (Large-scale Alignment for chatBots) developed by IBM Research to generate high-quality synthetic training data from a small number of examples. Red Hat is also upgrading OpenShift AI to version 2.9, with new features for serving both predictive and generative models and an expanded partner ecosystem.
Key takeaways:
- Red Hat announced major new initiatives to bring the power of generative AI to the enterprise, including Red Hat Enterprise Linux AI (RHEL AI), a platform for developing and running open source language models, and InstructLab, a project to enable domain experts to enhance AI models with their knowledge.
- RHEL AI differentiates itself by focusing on open source and a hybrid approach, optimizing performance across different hardware stacks, and allowing customers to retain ownership of their IP.
- InstructLab uses a novel method called LAB (Large-scale Alignment for chatBots) developed by IBM Research to generate high-quality synthetic training data from a small number of examples, allowing models to be continuously improved and fine-tuned through community contributions.
- Red Hat is also upgrading OpenShift AI to version 2.9, with new features for serving both predictive and generative models and an expanded partner ecosystem. The company aims to make powerful technologies accessible to a broad community through open source.