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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. Agmatix’s technology architecture is built on AWS. AWS Lambda is then used to further enrich the data.

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

AWS Machine Learning Blog

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. The chatbot built by AWS GenAIIC would take in this tag data and retrieve insights.

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

AWS Machine Learning Blog

These models are designed to understand and generate text about images, bridging the gap between visual information and natural language. After the documents are ingested in OpenSearch Service (this is a one-time setup step), we deploy the full end-to-end multimodal chat assistant using an AWS CloudFormation template.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

Creating engaging and informative product descriptions for a vast catalog is a monumental task, especially for global ecommerce platforms. This solution is available in the AWS Solutions Library. The README file contains all the information you need to get started, from requirements to deployment guidelines.

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. You can find more information on the p4de.24xlarge

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

AWS Machine Learning Blog

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. A model developer typically starts to work in an individual ML development environment within Amazon SageMaker.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

KYTC DVR’s challenges The KYTC DVR supports, assists and provides information related to vehicle registration, driver licenses, and commercial vehicle credentials to nearly 5 million constituents. “In The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution.

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