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

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Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos models . Time series forecasting...

Create a generative AI assistant with Slack and Amazon Bedrock

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Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. In this post, we show you...

Use Amazon Bedrock Agents for code scanning, optimization, and remediation

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Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you...

Getting started with Amazon Bedrock Agents custom orchestrator

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Generative AI agents are designed to interact with their environment to achieve specific objectives, such as automating repetitive tasks and augmenting human capabilities. By...

Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

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Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and...

Embodied AI Chess with Amazon Bedrock

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Generative AI continues to transform numerous industries and activities, with one such application being the enhancement of chess, a traditional human game, with sophisticated...

Search enterprise data assets using LLMs backed by knowledge graphs

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Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional...

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

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Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months...

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

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The new efficient multi-adapter inference feature of Amazon SageMaker unlocks exciting possibilities for customers using fine-tuned models. This capability integrates with SageMaker inference components...

AWS DeepRacer: How to master physical racing?

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As developers gear up for re:Invent 2024, they again face the unique challenges of physical racing. What are the obstacles? Let’s have a look. In...