Google DeepMind Researchers Introduce DiLoCo: A Novel Distributed, Low-Communication Machine Learning Algorithm for Effective and Resilient Large Language Model Training

  The soaring capabilities of language models in real-world applications are often hindered by the intricate challenges associated with their large-scale training using conventional methods like standard backpropagation. Google DeepMind’s latest breakthrough, DiLoCo (Distributed Low-Communication), sets a new precedent in language model optimization. In the paper “DiLoCo: Distributed Low-Communication Training of Language Models,” the research…

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Google Ads API v17_1 introduces new features and enhancements

Google announced the release of v17_1 of the Google Ads API, introducing several new features and updates for developers and advertisers. Key Updates: ShareablePreviewService.GenerateShareablePreviews(): Generates shareable ad preview URLs for enabled and paused asset groups, with expiration dates included. AdGroupAdService.RemoveAutomaticallyCreatedAssets(): Allows removal of automatically created assets linked to Responsive Search Ads. New ASSET_GROUP change status…

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Google launches privacy-focused measurement tool for advertisers

Google launched a new measurement tool for advertisers in anticipation of its plan to phase out third-party cookies later this year. Meridian, an open-source Marketing Mix Model (MMM), has been introduced to help advertisers analyze campaign performance while prioritizing user privacy. Accessibility. Meridian is currently available to select users. However, Google plans to make it…

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This New AI Research Advances Protein Structure Analysis By Integrating Pre-trained Protein Language Models into Geometric Deep Learning Networks

  A captivating puzzle awaits resolution in scientific exploration—proteins’ intricate and multifaceted structures. These molecular workhorses govern essential biological processes, wielding their influence in fascinating and enigmatic ways. Yet, interpreting the complex three-dimensional (3D) architecture of proteins has long been a challenge due to limitations in current analysis methods. Within this intricate puzzle, a research…

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