Parameta accelerates client email resolution with Amazon Bedrock Flows
This blog post is co-written with Siokhan Kouassi and Martin Gregory at […]
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Evaluate large language models for your machine translation tasks on AWS
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) […]
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London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services
This post was co-written with Ben Doughton, Head of Product Operations – […]
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Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager
Generative AI applications are gaining widespread adoption across various industries, including regulated […]
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Efficiently build and tune custom log anomaly detection models with Amazon SageMaker
In this post, we walk you through the process to build an […]
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Optimizing costs of generative AI applications on AWS
The report The economic potential of generative AI: The next productivity frontier, […]
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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium
Training large language models (LLMs) models has become a significant expense for […]
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Improving Retrieval Augmented Generation accuracy with GraphRAG
Customers need better accuracy to take generative AI applications into production. In […]
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Using transcription confidence scores to improve slot filling in Amazon Lex
When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges […]
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Add a generative AI experience to your website or web application with Amazon Q embedded
Generative AI offers many benefits for both you, as a software provider, […]
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