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

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

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 by using a text-to-SQL application. This …

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Unleash AI innovation with Amazon SageMaker HyperPod

Unleash AI innovation with Amazon SageMaker HyperPod

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 models, addressing hardware issues, and keeping …

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Revolutionizing clinical trials with the power of voice and AI

Revolutionizing clinical trials with the power of voice and AI

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 as audio-to-text translation and large language …

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Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes …

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