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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

In this post, we show how to create a multimodal chat assistant on Amazon Web Services (AWS) using Amazon Bedrock models, where users can submit images and questions, and text responses will be sourced from a closed set of proprietary documents. This may be useful for later chat assistant analytics. us-east-1 or bash deploy.sh

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Accelerate threat modeling with generative AI

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How generative AI can help Generative AI has revolutionized threat modeling by automating traditionally complex analytical tasks that required human judgment, reasoning, and expertise. Drawing from extensive security databases like MITRE ATT&CK and OWASP , these models can quickly identify potential vulnerabilities across complex systems.

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Data integration

Dataconomy

Data integration involves the systematic combination of data from multiple sources to create cohesive sets for operational and analytical purposes. Feeding data for analytics Integrated data is essential for populating data warehouses, data lakes, and lakehouses, ensuring that analysts have access to complete datasets for their work.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

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Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

Let’s transition to exploring solutions and architectural strategies. Approaches to researcher productivity To translate our strategic planning into action, we developed approaches focused on refining our processes and system architectures. He has a passion for continuous innovation and using data to drive business outcomes.

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How Vidmob is using generative AI to transform its creative data landscape

AWS Machine Learning Blog

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

ML Engineer at Tiger Analytics. In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. This post is co-written with Jayadeep Pabbisetty, Sr.

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