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10 things to watch out for with open source gen AI

CIO Business Intelligence

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.

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Getting the most out of open source without sacrificing security

CIO Business Intelligence

Open source has seen a great deal of momentum among mainframers, making collaboration easier and providing greater transparency. But for all of its benefits, open source is not without risks. By its very nature, open-source code is accessible to whoever wants to see it—including potential attackers.

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Trending Sources

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LinkedIn open-sources GDMix, a framework for training AI personalization models

Venture Beast

LinkedIn recently open-sourced GDMix, a framework for training the sort of AI personalization models used in search engines and ecommerce websites. Read More.

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AI Weekly: The challenges of creating open source AI training datasets

Venture Beast

Creating open source AI training datasets is a process that must be undertaken thoughtfully, according to experts. Read More.

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Google open-sources MT5, a multilingual model trained on over 101 languages

Venture Beast

Google open-sourced MT5, a model trained on over 100 languages that the company says achieves state-of-the-art benchmark results. Read More.

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Amazon Web Services continues open-source push with code behind SageMaker Neo

CTOvision

Amazon Web Services has decided to release the code behind one of its key machine-learning services as an open-source project, as it continues to push back against critics who find its relationship with open-source software out of balance.

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Google open-sources framework that reduces AI training costs by up to 80%

CTOvision

Google researchers recently published a paper describing a framework — SEED RL — that scales AI model training to thousands of machines.