… 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… …
… 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. …
… 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. …
… 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. …
… To help others implement similar programs, we are releasing a teacher training guide with materials created in collaboration with Fab AI, including the specific protocols used for this study. …