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Tag: SageMaker

How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in...

Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3 | Amazon Web Services

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at...

Accenture creates a regulatory document authoring solution using AWS generative AI services | Amazon Web Services

This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new...

Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas | Amazon Web Services

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write...

How HSR.health is limiting risks of disease spillover from animals to humans using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. ...

20 Technologies in Data Science for Professionals

Introduction As internet usage grows, companies leverage data for innovation and competitive advantage. With 66.2% of the global population connected to the internet as of...

Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker | Amazon Web Services

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs...

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 1 | Amazon Web Services

With the advent of generative AI, today’s foundation models (FMs), such as the large language models (LLMs) Claude 2 and Llama 2, can perform...

Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart  | Amazon Web Services

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the...

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs | Amazon Web Services

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Examples...

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace | Amazon Web Services

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these...

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model...

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