Red Hat Enterprise Linux AI is a foundation model platform for developing, testing and running generative artificial intelligence models for enterprise applications.
An OS is smart. Your computer or mobile device’s operating system is designed to work as the management motherlode inside your machine to manage memory processes and control the status of all hardware and software components.
Red Hat says there’s a key trend to pick up on here in terms of the way enterprise generative AI can be used productively. The company says its vision for this space sees the wider use of smaller, open source-licensed models that can run anywhere and everywhere needed across the hybrid cloud. It also identifies fine-tuning capabilities that enable organizations to more easily customize LLMs to private data and specific use cases.
Future RHEL AI releases will continue to support and refine Docling components, including additional document formats as well as integration for retrieval-augmented generation pipelines in addition to InstructLab knowledge tuning. Through Docling, RHEL AI 1.3 now also includes “context-aware chunking”, which takes into account the structure and semantic elements of the documents used for generative AI training.
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