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Red Hat's take on open-source AI: Pragmatism over utopian dreams
The Linux giant envisions AI development that mirrors open-source software's collaborative ethos. That won't be easy.
At the Linux Foundation Members Summit in November 2024, Richard Fontana, Red Hat's principal commercial counsel, highlighted that while traditional open-source software relies on accessible source code, AI introduces challenges with opaque training data and model weights. These fake open-source programs include Meta's LLama, and Fontana criticizes this trend, noting that many licenses discriminate against fields of endeavor or groups while still claiming openness. Red Hat CTO Chris Wright emphasizes pragmatic steps toward reproducibility, advocating for open models like Granite LLMs and tools such as InstructLab, which enable community-driven fine-tuning.
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