A new front has opened in the battle for how AI companies train their models. Reddit, one of the most widely used social news and forum platforms, has sued ...Full Article
It’s obvious when a dog has been poorly trained. It doesn’t respond properly to commands, pushes boundaries, and behaves unpredictably. The same is true with a poorly trained artificial intelligence ...Full Article
The race to build ever-larger language models is being driven by the assumption that more pre-training data equals better performance. It's no surprise that AI companies have been scrambling ...Full Article
Getting workers up to speed on the latest artificial intelligence technology has become a priority for many of the world’s top companies. That includes the tech giants, which recently ...Full Article
Those anticipating an eventual GPT-5 release may have a long time to wait. The current trend of developing ever-larger AI models like GPT-4 may soon come to an end, ...Full Article
Training AI models can be incredibly computationally intensive. Researchers often use supercomputers to ready the models, and the impact can be severe: the training process for a single model ...Full Article
Nvidia’s T4 GPUs unveiled earlier this year for accelerating workloads such as AI inference and training are making their “global” debut as cloud instances on Google Cloud. Google (NASDAQ: ...Full Article
Google continues to add GPU horsepower in tandem with its internally developed deep learning processors to its cloud platform with this week’s announcement that it will soon offer Nvidia’s ...Full Article
Graphics processors increasingly used as hardware accelerators for deep learning applications are also being deployed with the Kubernetes cluster orchestrator as another way to accelerate the scaling of training ...Full Article
As machine learning makes steady progress in enterprise datacenters, industry observers are forecasting the emergence of a new wave of machine learning chips in the coming year, a market ...Full Article
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