… Developing more fault-tolerant asynchronous training at scale Decoupled DiLoCo builds on two earlier advances: Pathways , which introduced a distributed AI system based on asynchronous data flow, and DiLoCo , which dramatically reduced the bandwidth required between distributed data centers, making… …
… Before Document AI, industries looking to use AI tools for document understanding needed vast amounts of training data to perform well. But this data is often unavailable, incomplete, or lacks proper annotation, preventing widespread AI adoption. …
… We have developed new state-of-the-art explainability methods to identify the role of training data on model behaviors. By combining training data attribution methods with agile classifiers , we found that we can identify mislabelled training examples. …
… In advertising and marketing, WPP used AlphaEvolve to refine AI model components, navigating complex, high-dimensional campaign data and achieving 10% accuracy gains over their competitive manual model optimizations. …