Transitioning off Amazon Lookout for Metrics
Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) […]
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Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker
This post is co-written with Less Wright and Wei Feng from Meta Pre-training […]
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Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock
In this post, we present a solution that harnesses the power of […]
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Time series forecasting with Amazon SageMaker AutoML
Time series forecasting is a critical component in various industries for making […]
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Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra
Despite the proliferation of information and data in business environments, employees and […]
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Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents
In the generative AI era, agents that simulate human actions and behaviors […]
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How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker
This post is co-written with Dean Steel and Simon Gatie from Aviva. […]
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Implement model-independent safety measures with Amazon Bedrock Guardrails
Generative AI models can produce information on a wide range of topics, […]
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Visier’s data science team boosts their model output 10 times by migrating to Amazon SageMaker
This post is co-written with Ike Bennion from Visier. Visier’s mission is […]
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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1
Building intelligent agents that can accurately understand and respond to user queries […]
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