New ways to help you drive performance with Demand Gen
New features are coming to Demand Gen to help you create and convert demand across YouTube and Google’s visual surfaces.
Community Union is bringing AI’s benefits to the nation’s workers
Google is partnering with UK trade union Community Union to ensure that everyone reaps the benefits of generative AI at work.
50 states, 50 stories: Highlighting small businesses at the big game
Learn more about Google’s new local ad spots highlighting small businesses using Gemini for Workspace.
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 …
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Generative AI operating models in enterprise organizations with Amazon Bedrock
Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing, translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in …
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DeepSeek R1 is now available on Azure AI Foundry and GitHub
DeepSeek R1 is now available in the model catalog on Azure AI Foundry and GitHub, joining a diverse portfolio of over 1,800 models, including frontier, open-source, industry-specific, and task-based AI models. As part of Azure AI Foundry, DeepSeek R1 is accessible on a trusted, scalable, and enterprise-ready platform, enabling businesses to seamlessly integrate advanced AI …
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AI and the future of national security
Kent Walker shares three national security imperatives for the AI era.
Develop a RAG-based application using Amazon Aurora with Amazon Kendra
Generative AI and large language models (LLMs) are revolutionizing organizations across diverse sectors to enhance customer experience, which traditionally would take years to make progress. Every organization has data stored in data stores, either on premises or in cloud providers. You can embrace generative AI and enhance customer experience by converting your existing data into …
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Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference
In production generative AI applications, responsiveness is just as important as the intelligence behind the model. Whether it’s customer service teams handling time-sensitive inquiries or developers needing instant code suggestions, every second of delay, known as latency, can have a significant impact. As businesses increasingly use large language models (LLMs) for these critical tasks and …
Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval
Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLM’s capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk. Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing …
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