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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX
In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be …
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Building trust in AI: The AWS approach to the EU AI Act
As AI adoption accelerates and reshapes our future, organizations are adapting to evolving regulatory frameworks. In our report commissioned to Strand Partners, Unlocking Europe’s AI Potential in the Digital Decade 2025, 68% of European businesses surveyed underlined that they struggle to understand their responsibilities under the EU AI Act. European businesses also highlighted that an …
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Update on the AWS DeepRacer Student Portal
The AWS DeepRacer Student Portal will no longer be available starting September 15, 2025. This change comes as part of the broader transition of AWS DeepRacer from a service to an AWS Solution, representing an evolution in how we deliver AI & ML education. Since its launch, the AWS DeepRacer Student Portal has helped thousands …
Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio
Modern generative AI model providers require unprecedented computational scale, with pre-training often involving thousands of accelerators running continuously for days, and sometimes months. Foundation Models (FMs) demand distributed training clusters — coordinated groups of accelerated compute instances, using frameworks like PyTorch — to parallelize workloads across hundreds of accelerators (like AWS Trainium and AWS Inferentia …
Meeting summarization and action item extraction with Amazon Nova
Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer …
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Building a custom text-to-SQL agent using Amazon Bedrock and Converse API
Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures. In this post, we introduce a straightforward but powerful solution with accompanying code to text-to-SQL using …
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Accelerate threat modeling with generative AI
In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack scenarios, and providing contextual mitigation strategies. Unlike previous automation attempts that struggled with the creative and contextual aspects of threat analysis, generative AI overcomes these limitations through its ability to understand complex system relationships, reason …
Search Live: Talk, listen and explore in real time with AI Mode
Search Live with voice facilitates back-and-forth conversations in AI Mode.
Hear a podcast discussion about Gemini’s coding capabilities.
The latest episode of the Google AI: Release Notes podcast focuses on how the Gemini team built one of the world’s leading AI coding models.Host Logan Kilpatrick chats w…