How Westinghouse is reenergizing nuclear power with — and for — AI
Westinghouse has partnered with Google Cloud to develop a custom AI-powered platform.
Claude Code deployment patterns and best practices with Amazon Bedrock
Claude Code is an AI-powered coding assistant from Anthropic that helps developers write, review, and modify code through natural language interactions. Amazon Bedrock is a fully managed service that provides access to foundation models from leading AI companies through a single API. This post shows you how to deploy Claude Code with Amazon Bedrock. You’ll …
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Amazon Bedrock Guardrails expands support for code domain
Amazon Bedrock Guardrails now supports protection against undesirable content within code elements including user prompts, comments, variables, function names, and string literals. Amazon Bedrock Guardrails provides configurable safeguards for building generative AI applications at scale. These safety controls work seamlessly whether you’re using foundation models from Amazon Bedrock, or applying them at various intervention points …
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Announcing the AWS Well-Architected Responsible AI Lens
As AI applications grow more complex, many builders struggle to appropriately and responsibly balance AI benefits and risks. Few resources exist that help non-experts articulate and resolve the key design decisions they must make. However, it doesn’t have to be this way. Today, we’re announcing the AWS Well-Architected Responsible AI Lens—a set of thoughtful questions …
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How Amazon uses AI agents to support compliance screening of billions of transactions per day
At Amazon, we screen customers and transactions across our global business and its subsidiaries to comply with sanctions and other global laws. Failure to comply with these laws can result in severe financial penalties and reputational harm. Amazon’s Compliance team has developed an AI-driven screening and investigations system that has transformed Amazon’s compliance processes into …
Build an agentic solution with Amazon Nova, Snowflake, and LangGraph
This post was written with Bharath Suresh and Mary Law from Snowflake. Agentic AI is a type of AI that functions autonomously, automating a broader range of tasks with minimal supervision. It combines traditional AI and generative AI capabilities to make decisions, perform tasks, and adapt to its environment without constant human intervention. These autonomous …
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Using Spectrum fine-tuning to improve FM training efficiency on Amazon SageMaker AI
Optimizing generative AI applications relies on tailoring foundation models (FMs) using techniques such as prompt engineering, RAG, continued pre-training, and fine-tuning. Efficient fine-tuning is achieved by strategically managing hardware, training time, data volume, and model quality to reduce resource demands and maximize value. Spectrum is a new approach designed to pinpoint the most informative layers …
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At our Research@Poland event we shared how AI is helping us solve big challenges.
From AI education to disaster response, see how collaboration is at the heart of the work at Google Research.
Bringing tic-tac-toe to life with AWS AI services
Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware. Inspired by this, we developed a game for the AWS re:Invent 2024 …
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HyperPod enhances ML infrastructure with security and storage
Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs). As AI moves towards deployment adopting to a multitude of domains and use cases, the need for security …
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