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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. This enhances the overall user experience, helping customers find exactly what …

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AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration

AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration

The generative artificial intelligence (AI) revolution is in full swing, and customers of all sizes and across industries are taking advantage of this transformative technology to reshape their businesses. From reimagining workflows to make them more intuitive and easier to enhancing decision-making processes through rapid information synthesis, generative AI promises to redefine how we interact …

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Generative AI roadshow in North America with AWS and Hugging Face

Generative AI roadshow in North America with AWS and Hugging Face

In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make it effortless to train, fine-tune, and …

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Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia

Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia

This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model. …

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Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2

Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for generative AI, SageMaker Canvas …

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Cloud Cultures, Part 5: Embracing innovation and preserving a vibrant identity in Mexico

Cloud Cultures, Part 5: Embracing innovation and preserving a vibrant identity in Mexico

Innovate, Connect, Cultivate  The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe.  Last year, I visited Poland, Sweden, England, and Italy, and learned how the unique culture of each of these countries has shaped how they adopt and use technology, demonstrating the diverse ways in which …

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Solar models from Upstage are now available in Amazon SageMaker JumpStart

Solar models from Upstage are now available in Amazon SageMaker JumpStart

This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart. Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its compact size and powerful track records …

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Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. In …

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New infrastructure for the era of AI: Emerging technology and trends in 2024

New infrastructure for the era of AI: Emerging technology and trends in 2024

This is part of a larger series on the new infrastructure of the era of AI, highlighting emerging technology and trends in large-scale compute. This month, we’re sharing the 2024 edition of the State of AI Infrastructure report to help businesses harness the power of AI now.  The era of AI is upon us. You’ve …

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