Revolutionizing clinical trials with the power of voice and AI

Favorite In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration. This is where the integration of cutting-edge technologies, such

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Shared by AWS Machine Learning March 18, 2025

Unleash AI innovation with Amazon SageMaker HyperPod

Favorite The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. It now demands deep expertise, access to vast datasets, and the management of extensive compute clusters. Customers also face the challenges of writing specialized code for distributed training, continuously optimizing

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Shared by AWS Machine Learning March 18, 2025

Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

Favorite SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries

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Shared by AWS Machine Learning March 18, 2025

Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions

Favorite As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections. With Amazon Bedrock Guardrails, you can implement safeguards in your generative AI applications

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Shared by AWS Machine Learning March 18, 2025

NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart

Favorite Today, we are excited to announce that the NeMo Retriever Llama3.2 Text Embedding and Reranking NVIDIA NIM microservices are available in Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS.

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Shared by AWS Machine Learning March 18, 2025

Running NVIDIA NeMo 2.0 Framework on Amazon SageMaker HyperPod

Favorite This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training frameworks are essential. The NVIDIA NeMo Framework provides a robust, end-to-end solution for developing, customizing, and deploying large-scale AI

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Shared by AWS Machine Learning March 18, 2025

The Check Up with Google Health

Favorite At The Check Up 2025, we shared more about the potential of AI in health and our latest health AI research, partnership and product updates. View Original Source (blog.google/technology/ai/) Here.