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Tag: AWS Cloud9

Scale AI training and inference for drug discovery through Amazon EKS and Karpenter | Amazon Web Services

This is a guest post co-written with the leadership team of Iambic Therapeutics. Iambic Therapeutics is a...

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Create a document lake using large-scale text extraction from documents with Amazon Textract | Amazon Web Services

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage...

Harness large language models in fake news detection | Amazon Web Services

Fake news, defined as news that conveys or incorporates false, fabricated, or deliberately misleading information, has been around as early as the emergence of...

Optimize for sustainability with Amazon CodeWhisperer | Amazon Web Services

This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. Computationally resource-efficient coding is one technique that...

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models | Amazon Web Services

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits...

Implement smart document search index with Amazon Textract and Amazon OpenSearch | Amazon Web Services

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is...

Enable pod-based GPU metrics in Amazon CloudWatch | Amazon Web Services

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch, making it possible to push metrics from the Amazon...

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch | Amazon Web Services

Amazon SageMaker is a fully managed machine learning (ML) platform that offers a comprehensive set of services that serve end-to-end ML workloads. As recommended...

Scale your machine learning workloads on Amazon ECS powered by AWS Trainium instances | Amazon Web Services

Running machine learning (ML) workloads with containers is becoming a common practice. Containers can fully encapsulate not just your training code, but the entire...

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK | Amazon Web Services

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a...

Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers...

Announcing New Tools for Building with Generative AI on AWS

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive...

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications...

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