Adaptive Training Distributions with Scalable Online Bilevel Optimization

Large neural networks pretrained on web-scale corpora are central to modern machine learning. In this paradigm, the distribution of the large, heterogeneous pretraining data rarely matches that of the application domain. This work considers modifying the pretraining distribution in the case where one has a small sample of data reflecting the targeted test conditions. We …

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Orchestrate seamless business systems integrations using Amazon Bedrock Agents

Generative AI has revolutionized technology through generating content and solving complex problems. To fully take advantage of this potential, seamless integration with existing business systems and efficient access to data are crucial. Amazon Bedrock Agents provides the integration capabilities to connect generative AI models with the wealth of information and workflows already in place within …

Helping our partners co-market faster with AI

At Google Cloud, we’re deeply invested in making AI helpful to organizations everywhere — not just for our valued customers, but for our equally important partners.  Today, we’re thrilled to introduce a significant leap forward in how we enable our partners to co-market with us: Gemini-powered content creation within Partner Marketing Studio. These AI features …

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Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design

Organizations are often inundated with video and audio content that contains valuable insights. However, extracting those insights efficiently and with high accuracy remains a challenge. This post explores an innovative solution to accelerate video and audio review workflows through a thoughtfully designed user experience that enables human and AI collaboration. By approaching the problem from …

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Augmenting the multi-step reasoning abilities of Large Language Models (LLMs) has been a persistent challenge. Recently, verification has shown promise in improving solution consistency by evaluating generated outputs. However, current verification approaches suffer from sampling inefficiencies, requiring a large number of samples to achieve satisfactory performance. Additionally, training an effective verifier often depends on extensive …

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Harnessing Amazon Bedrock generative AI for resilient supply chain

From pandemic shutdowns to geopolitical tensions, recent years have thrown our global supply chains into unexpected chaos. This turbulent period has taught both governments and organizations a crucial lesson: supply chain excellence depends not just on efficiency but on the ability to navigate disruptions through strategic risk management. By leveraging the generative AI capabilities and …

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Improving model performance with PyTorch/XLA 2.6

For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It does so by leveraging OpenXLA, developed by Google, which gives developers the ability to define …

Compact Neural TTS Voices for Accessibility

Contemporary text-to-speech solutions for accessibility applications can typically be classified into two categories: (i) device-based statistical parametric speech synthesis (SPSS) or unit selection (USEL) and (ii) cloud-based neural TTS. SPSS and USEL offer low latency and low disk footprint at the expense of naturalness and audio quality. Cloud-based neural TTS systems provide significantly better audio …

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DeepSeek-R1 model now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Today, we are announcing that DeepSeek AI’s first-generation frontier model, DeepSeek-R1, is available through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace to deploy for inference. You can now use DeepSeek-R1 to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how to get started with DeepSeek-R1 on Amazon …

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both developers and end-users. DeepSeek AI, a …