PartyRock, an Amazon Bedrock Playground is a fun and intuitive hands-on, shareable generative AI app-building tool. Post announcement, builders made tens of thousands of AI-powered apps in a matter of days, shared on social media using single-step tools from within the playground. Today, PartyRock is announcing a new Discover page, where top community-created apps will be curated by AWS. The page will showcase what PartyRock users are building and help others to get hands-on by providing a central resource for inspiration and discovery. Here you’ll find some of the most viewed, remixed, and snapshotted apps, curated by PartyRock employees, including those they found particularly amusing, novel, or helpful for understanding key generative AI concepts. Everyone can learn to build AI apps with PartyRock, an Amazon Bedrock Playground.
Amazon Detective introduces finding group summaries using generative AI
Amazon Detective now provides finding group summaries using generative artificial intelligence (AI) that automatically analyzes finding groups and provides insights in natural language to help you accelerate security investigations. Amazon Detective finding groups allows you to examine multiple activities related to potential security events. For example, you can analyze the root cause of high-severity Amazon GuardDuty findings using Detective finding groups. With Detective finding group summaries, you can more quickly locate and review key insights on suspicious activity identified in finding groups in natural language, making it easier to investigate and understand unusual or suspicious activities.
Announcing Lens Catalog for the AWS Well-Architected Tool
Today, AWS Well-Architected (AWS WA) announces the general availability of the Lens Catalog in the AWS Well-Architected Tool (AWS WA Tool). The Lens Catalog is a new, central lens repository for customers looking to explore, review, and implement the latest cloud best practices available from AWS.
Announcing utterance generation for Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems. Today, we are excited to introduce utterance generation for Amazon Lex that expedites bot development by leveraging generative AI to automatically produce new training utterances.
Announcing vision system data from AWS IoT FleetWise (Preview)
Today, AWS announces the preview of vision system data from AWS IoT FleetWise, a service that lets automotive companies efficiently collect vehicle data and organize it in the cloud. With this new feature, you can easily collect and organize data from vehicle vision systems that include cameras, radars, and lidars. It keeps both structured and unstructured vision system data, metadata (event ID, campaign, vehicle), and standard sensor (telemetry data) automatically synchronized in the cloud, making it easier to assemble a full picture view of events and gain insights.
Descriptive Bot Builder with Generative AI
Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. Amazon Lex leverages Generative AI to accelerate bot building by automatically generating a bot from a user’s prompt. Simply provide a description in natural language to generate a starting point which can be further refined.
Announcing major dashboard enhancements in AWS Security Hub
Today, Amazon Web Services Inc. (AWS) announces new data visualizations, filtering and customization enhancements to the AWS Security Hub dashboard , allowing you to more easily focus on risks that require your attention.
Amazon SageMaker launches a new version of Large Model Inference DLC with TensorRT-LLM support
Today, Amazon SageMaker launched a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Container (DLC), with support for NVIDIA’s TensorRT-LLM Library . With these upgrades, customers can easily access state-of-the-art tooling to optimize Large Language Models (LLMs) on SageMaker. Amazon SageMaker LMI TensorRT-LLM DLC reduces latency by 33% on average and improves throughput by 60% on average for Llama2-70B, Falcon-40B and CodeLlama-34B models, compared to previous version.
Announcing enhanced capabilities for Partner-Led Support
Today, Amazon Web Services (AWS) announces an expanded portfolio of proactive benefits for AWS Partners that leverage the extensive cloud expertise of AWS Support. Participating partners will enhance their customers’ experience using new tools and receive the benefit of scalable pricing, and will have the opportunity to showcase Backed by AWS Support to help customers easily identify partners who offer AWS Partner-Led Support.
AWS HealthScribe is now generally available
Today, AWS announces the general availability of AWS HealthScribe, a HIPAA eligible, generative AI-powered service designed to help healthcare application builders automatically create preliminary clinical documentation from patient-clinician conversations. With AWS HealthScribe, you can integrate speech recognition and generative AI, specifically trained to assist with healthcare industry documentation, into your application to help accelerate clinical documentation and enhance the consultation experience. AWS HealthScribe makes it easier and faster for healthcare software providers to include generative AI capabilities without the need to manage the underlying machine learning (ML) infrastructure or train their own healthcare-specific large language models (LLMs).