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

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

Although careful prompt crafting can yield good results, achieving professional-grade visual consistency often requires adapting the underlying model itself. Building on the prompt engineering and character development approach covered in Part 1 of this two-part series, we now push the consistency level for specific characters by fine-tuning an Amazon Nova Canvas foundation model (FM). Through …

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

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 …

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Authenticate Amazon Q Business data accessors using a trusted token issuer

Authenticate Amazon Q Business data accessors using a trusted token issuer

Since its general availability in 2024, Amazon Q Business (Amazon Q) has enabled independent software vendors (ISVs) to enhance their Software as a Service (SaaS) solutions through secure access to customers’ enterprise data by becoming Amazon Q Business data accessor. To find out more on data accessor, see this page. The data accessor now supports …

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

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

This post was written with Stephen Coverdale and Alessandra Filice of Proofpoint. At the forefront of cybersecurity innovation, 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. …

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Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

This post is co-written with Keith Beaudoin and Nicolas Bordeleau from Coveo. As generative AI transforms business operations, enterprises face a critical challenge: how can they help large language models (LLMs) provide accurate and trustworthy responses? Without reliable data foundations, these AI models can generate misleading or inaccurate responses, potentially reducing user trust and organizational …

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

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

Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify how you can use the service’s distributed training and inference capabilities. …

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

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

As organizations increasingly adopt foundation models (FMs) for their artificial intelligence and machine learning (AI/ML) workloads, managing large-scale inference operations efficiently becomes crucial. Amazon Bedrock supports two general types of large-scale inference patterns: real-time inference and batch inference for use cases that involve processing massive datasets where immediate results aren’t necessary. Amazon Bedrock batch inference …

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Natural language-based database analytics with Amazon Nova

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 …

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