AI news from Amazon Web Services – AWS

• Amazon
• news
• newsfeed
• artificial intelligence

View books and computing supplies on the AI industry from Amazon

Tweets by awscloud

1. Accelerating HPC and AI research in universities with Amazon SageMaker HyperPod

   In this post, we demonstrate how a research university implemented SageMaker HyperPod to accelerate AI research by using dynamic SLURM partitions, fine-grained GPU resource management, budget-aware compute cost tracking, and multi-login node load balancing—all integrated seamlessly into the SageMaker HyperPod environment.

2. Exploring the Real-Time Race Track with Amazon Nova

   This post explores the Real-Time Race Track (RTRT), an interactive experience built using Amazon Nova in Amazon Bedrock, that lets fans design, customize, and share their own racing circuits. We highlight how generative AI capabilities come together to deliver strategic racing insights such as pit timing and tire choices, and interactive features like an AI voice assistant and a retro-style...

3. Build character consistent storyboards using Amazon Nova in Amazon Bedrock – Part 2

   In this post, we take an animated short film, Picchu, produced by FuzzyPixel from Amazon Web Services (AWS), prepare training data by extracting key character frames, and fine-tune a character-consistent model for the main character Mayu and her mother, so we can quickly generate storyboard concepts for new sequels like the following images.

4. Build character consistent storyboards using Amazon Nova in Amazon Bedrock – Part 1

   The art of storyboarding stands as the cornerstone of modern content creation, weaving its essential role through filmmaking, animation, advertising, and UX design. Though traditionally, creators have relied on hand-drawn sequential illustrations to map their narratives, today’s AI foundation models (FMs) are transforming this landscape. FMs like Amazon Nova Canvas and Amazon Nova Reel offer […]

5. Authenticate Amazon Q Business data accessors using a trusted token issuer

   In this post, we showed how to implement TTI authentication for Amazon Q data accessors. We covered the setup process for both ISVs and enterprises and demonstrated how TTI authentication simplifies the user experience while maintaining security standards.

6. Unlocking the future of professional services: How Proofpoint uses Amazon Q Business

   Proofpoint has redefined its professional services by integrating Amazon Q Business, a fully managed, generative AI powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. In this post, we explore how Amazon Q Business transformed Proofpoint’s professional services, detailing its deployment,...

7. Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

   In this post, we show how to deploy Coveo’s Passage Retrieval API as an Amazon Bedrock Agents action group to enhance response accuracy, so Coveo users can use their current index to rapidly deploy new generative experiences across their organization.

8. Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK

   In this post, we demonstrate how to use the new Amazon SageMaker HyperPod CLI and SDK to streamline the process of training and deploying large AI models through practical examples of distributed training using Fully Sharded Data Parallel (FSDP) and model deployment for inference. The tools provide simplified workflows through straightforward commands for common tasks, while offering flexible...

9. Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions

   In this post, we introduce a flexible and scalable solution that simplifies the batch inference workflow. This solution provides a highly scalable approach to managing your FM batch inference needs, such as generating embeddings for millions of documents or running custom evaluation or completion tasks with large datasets.

10. Natural language-based database analytics with Amazon Nova

    In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance database analytics by breaking down complex queries into explicit, verifiable reasoning steps and...