Use Amazon Bedrock Agents for code scanning, optimization, and remediation

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Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that best suits your use case... With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application...

Microsoft Cost Management updates—November 2024

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We invite you to explore and take full advantage of these new features!Exports to Microsoft FabricAzure OpenAI costs (New view and Copilot support)Azure Copilot to Cost analysisNew ways to save money with Microsoft CloudDocumentation updatesLet’s dig into the details... You can quickly set it up using the Azure portal or through the API...Azure OpenAI Service costs...

Happy Thanksgiving 2024

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The festival of eating, giving thanks, and breaking free of the usual routine will keep your editor off the grid for a few days. Regular programming returns on Monday, Dec. 2. Cheers......

Time-based snapshot copy for Amazon EBS

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You can now specify a desired completion duration (15 minutes to 48 hours) when you copy an Amazon Elastic Block Store (Amazon EBS) snapshot within or between AWS Regions and/or accounts... Development – Provide your developers with updated snapshot data on a regular and frequent basis... Disaster Recovery – Ensure that critical snapshots are copied in order to meet a Recovery Point Objectiv...

Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

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Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation across diverse domains as showcased in numerous leaderboards (e... In this context, fine-tuning emerges as a crucial technique to adapt these general-purpose models to the intricacies of cybersecurity... For example, we could use Instruction fine-tuning to increase the model pe...

Enhanced observability for AWS Trainium and AWS Inferentia with Datadog

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This post is co-written with Curtis Maher and Anjali Thatte from Datadog...  This post walks you through Datadog’s new integration with AWS Neuron, which helps you monitor your AWS Trainium and AWS Inferentia instances by providing deep observability into resource utilization, model execution performance, latency, and real-time infrastructure health, enabling you to optimize machine learning (...

Create a virtual stock technical analyst using Amazon Bedrock Agents

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Stock technical analysis questions can be as unique as the individual stock analyst themselves... In this post, we create a virtual analyst that can answer natural language queries of stocks matching certain technical indicator criteria using Amazon Bedrock Agents... Lambda will access the open source stock data pre-fetched into an Amazon Simple Storage Service (Amazon S3) bucket, calculate the t...