Generate Gremlin queries using Amazon Bedrock models

Favorite Graph databases have revolutionized how organizations manage complex, interconnected data. However, specialized query languages such as Gremlin often create a barrier for teams looking to extract insights efficiently. Unlike traditional relational databases with well-defined schemas, graph databases lack a centralized schema, requiring deep technical expertise for effective querying. To

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Shared by AWS Machine Learning October 24, 2025

Responsible AI design in healthcare and life sciences

Favorite Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to

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Shared by AWS Machine Learning October 24, 2025

Accelerate large-scale AI training with Amazon SageMaker HyperPod training operator 

Favorite Large-scale AI model training faces significant challenges with failure recovery and monitoring. Traditional training requires complete job restarts when even a single training process fails, resulting in additional downtime and increased costs. As training clusters expand, identifying and resolving critical issues like stalled GPUs and numerical instabilities typically requires

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Shared by AWS Machine Learning October 22, 2025

Building a multi-agent voice assistant with Amazon Nova Sonic and Amazon Bedrock AgentCore

Favorite Amazon Nova Sonic is a foundation model that creates natural, human-like speech-to-speech conversations for generative AI applications, allowing users to interact with AI through voice in real-time, with capabilities for understanding tone, enabling natural flow, and performing actions. Multi-agent architecture offers a modular, robust, and scalable design pattern for

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Shared by AWS Machine Learning October 22, 2025