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Protect your DeepSeek model deployments with Amazon Bedrock Guardrails

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the forefront of innovation. The DeepSeek-R1 models are now accessible through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, and distilled variants are available through Amazon Bedrock Custom Model Import. According to DeepSeek AI, these models offer …

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Announcing public beta of Gen AI Toolbox for Databases

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Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain, the leading orchestration framework for developers building large language model (LLM) applications. Gen AI Toolbox for Databases (Toolbox) is an open-source server that empowers application developers to connect production-grade, agent-based generative AI (gen AI) applications …

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Reinforcement Learning for Long-Horizon Interactive LLM Agents

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Interactive digital agents (IDAs) leverage APIs of stateful digital environments to perform tasks in response to user requests. While IDAs powered by instruction-tuned large language models (LLMs) can react to feedback from interface invocations in multi-step exchanges, they have not been trained in their respective digital environments. Prior methods accomplish less than half of tasks …

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Trellix lowers cost, increases speed, and adds delivery flexibility with cost-effective and performant Amazon Nova Micro and Amazon Nova Lite models

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This post is co-written with Martin Holste from Trellix.  Security teams are dealing with an evolving universe of cybersecurity threats. These threats are expanding in form factor, sophistication, and the attack surface they target. Constrained by talent and budget limitations, teams are often forced to prioritize the events pursued for investigation, limiting the ability to …

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Designing sustainable AI: A deep dive into TPU efficiency and lifecycle emissions

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

As AI continues to unlock new opportunities for business growth and societal benefits, we’re working to reduce the carbon intensity of AI systems — including by optimizing software, improving hardware efficiency, and powering AI models with carbon-free energy. Today we’re releasing a first-of-its-kind study1 on the lifetime emissions of our Tensor Processing Unit (TPU) hardware. …

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Adaptive Training Distributions with Scalable Online Bilevel Optimization

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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

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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 …

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Helping our partners co-market faster with AI

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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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