Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint
Speaker diarization, an essential process in audio analysis, segments an audio file […]
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Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS
Organizations across industries are using automatic text summarization to more efficiently handle […]
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Improve accuracy of Amazon Rekognition Face Search with user vectors
In various industries, such as financial services, telecommunications, and healthcare, customers use […]
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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering
The Amazon EU Design and Construction (Amazon D&C) team is the engineering […]
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Enhance conversational AI with advanced routing techniques with Amazon Bedrock
Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses […]
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock
Migrating to the cloud is an essential step for modern organizations aiming […]
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Scale AI training and inference for drug discovery through Amazon EKS and Karpenter
This is a guest post co-written with the leadership team of Iambic […]
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Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock – Part 2
In Part 1 of this series, we presented a solution that used […]
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Use Kubernetes Operators for new inference capabilities in Amazon SageMaker that reduce LLM deployment costs by 50% on average
We are excited to announce a new version of the Amazon SageMaker […]
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Introducing automatic training for solutions in Amazon Personalize
Amazon Personalize is excited to announce automatic training for solutions. Solution training […]
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