NotebookLM’s Video Overviews are now available in 80 languages
Learn more about updates to NotebookLM’s Audio and Video Overview tools.
postMessaged and Compromised
At Microsoft, securing the ecosystem means more than just fixing bugs—it means proactively hunting for variant classes, identifying systemic weaknesses, and working across teams to protect customers before attackers ever get the chance. This blog highlights one such effort: a deep dive into the risks of misconfigured postMessage handlers across Microsoft services and how MSRC …
AI breakthroughs are transforming industries, from healthcare to finance
Remarks from Ruth Porat, President and Chief Investment Officer, Alphabet and Google at the Jackson Hole Economic Symposium.
Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities
As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In this post, we explore how you …
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Beyond the basics: A comprehensive foundation model selection framework for generative AI
Most organizations evaluating foundation models limit their analysis to three primary dimensions: accuracy, latency, and cost. While these metrics provide a useful starting point, they represent an oversimplification of the complex interplay of factors that determine real-world model performance. Foundation models have revolutionized how enterprises develop generative AI applications, offering unprecedented capabilities in understanding and …
Accelerate intelligent document processing with generative AI on AWS
Every day, organizations process millions of documents, including invoices, contracts, insurance claims, medical records, and financial statements. Despite the critical role these documents play, an estimated 80–90% of the data they contain is unstructured and largely untapped, hiding valuable insights that could transform business outcomes. Despite advances in technology, many organizations still rely on manual …
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Amazon SageMaker HyperPod enhances ML infrastructure with scalability and customizability
Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model (FM) training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training FMs, reducing training time by up to 40%. SageMaker HyperPod offers persistent clusters with built-in resiliency, while also offering deep …
Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes
This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post, …
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Inline code nodes now supported in Amazon Bedrock Flows in public preview
Today, we are excited to announce the public preview of support for inline code nodes in Amazon Bedrock Flows. With this powerful new capability, you can write Python scripts directly within your workflow, alleviating the need for separate AWS Lambda functions for simple logic. This feature streamlines preprocessing and postprocessing tasks (like data normalization and …
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Accelerate enterprise AI implementations with Amazon Q Business
As an Amazon Web Services (AWS) enterprise customer, you’re probably exploring ways to use generative AI to enhance your business processes, improve customer experiences, and drive innovation. With a variety of options available—from Amazon Q Business to other AWS services or third-party offerings—choosing the right tool for your use case can be challenging. This post …
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