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Category: Machine learning

December 3, 2024Machine learning

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Today at AWS re:Invent 2024, we are excited to announce a new […]

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December 3, 2024Machine learning

Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

Today at AWS re:Invent 2024, we are excited to announce the new […]

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December 3, 2024Machine learning

Speed up your AI inference workloads with new NVIDIA-powered capabilities in Amazon SageMaker

This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and […]

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December 2, 2024Machine learning

How Amazon Finance Automation built a generative AI Q&A chat assistant using Amazon Bedrock

Today, the Accounts Payable (AP) and Accounts Receivable (AR) analysts in Amazon […]

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December 2, 2024Machine learning

Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon

Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up […]

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December 1, 2024Machine learning

AWS DeepRacer: How to master physical racing?

As developers gear up for re:Invent 2024, they again face the unique […]

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December 1, 2024Machine learning

Cohere Rerank 3.5 is now available in Amazon Bedrock through Rerank API

We are excited to announce the availability of Cohere’s advanced reranking model […]

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November 29, 2024Machine learning

Easily deploy and manage hundreds of LoRA adapters with SageMaker efficient multi-adapter inference

The new efficient multi-adapter inference feature of Amazon SageMaker unlocks exciting possibilities […]

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November 29, 2024Machine learning

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock

Prompt engineering refers to the practice of writing instructions to get the […]

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November 28, 2024Machine learning

Embodied AI Chess with Amazon Bedrock

Generative AI continues to transform numerous industries and activities, with one such […]

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