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AWS

How Formula 1® uses generative AI to accelerate race-da...

In this post, we explain how F1 and AWS have developed a root cause analysis (RC...

AWS

Using Amazon Rekognition to improve bicycle safety

To better protect themselves, many cyclists are starting to ride with cameras mo...

AWS

Use language embeddings for zero-shot classification an...

In this post, we explore what language embeddings are and how they can be used t...

AWS

Build a dynamic, role-based AI agent using Amazon Bedro...

In this post, we explore how to build an application using Amazon Bedrock inline...

AWS

From concept to reality: Navigating the Journey of RAG ...

In this post, we explore the movement of RAG applications from their proof of co...

AWS

LLM-as-a-judge on Amazon Bedrock Model Evaluation

This blog post explores LLM-as-a-judge on Amazon Bedrock Model Evaluation, provi...

AWS

Achieve ~2x speed-up in LLM inference with Medusa-1 on ...

Researchers developed Medusa, a framework to speed up LLM inference by adding ex...

AWS

Fine-tune LLMs with synthetic data for context-based Q&...

In this post, we explore how to use Amazon Bedrock to generate synthetic trainin...

AWS

Meta SAM 2.1 is now available in Amazon SageMaker JumpS...

We are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision s...

AWS

Falcon 3 models now available in Amazon SageMaker JumpS...

We are excited to announce that the Falcon 3 family of models from TII are avail...

AWS

Building a virtual meteorologist using Amazon Bedrock A...

In this post, we present a streamlined approach to deploying an AI-powered agent...

AWS

Faster distributed graph neural network training with G...

GraphStorm is a low-code enterprise graph machine learning (ML) framework that p...

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