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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning Blog

Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless.

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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning Blog

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project.

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Introducing an image-to-speech Generative AI application using Amazon SageMaker and Hugging Face

AWS Machine Learning Blog

In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon Textract and Amazon Polly , we showed you our Text to Speech application called “Read for Me”. The Amazon Cognito Identity pool grants temporary access to the Amazon S3 bucket. Accessibility has come a long way, but what about images?

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Here’s what founders should consider when pitching their AI-focused startups

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. “The pace is crazy,” said Flying Fish principal Heather Gorham , speaking at a panel discussion about AI startups in Seattle this week. The panel discussion, at the TF Labs AI Summit, also featured Kevin Leneway , a software engineer at Pioneer Square Labs, and Larry Colagiovanni , a partner at Madrona Venture Labs.

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

In this post, we demonstrate how the MLSL and NXP employed Amazon Forecast and other custom models for long-term sales predictions for various NXP products. “We For macro-level sales prediction, we employed the Amazon Forecast AutoPredictor for our final solution. We implemented this method using PyTorch on Amazon SageMaker Studio.

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Amazon SageMaker geospatial capabilities combined with Planet ’s satellite data can be used for crop segmentation, and there are numerous applications and potential benefits of this analysis to the fields of agriculture and sustainability. The analysis that inspired this post was originally written by Jennifer Reiber Kyle.

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Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics

AWS Machine Learning Blog

Although machine learning (ML) can provide valuable insights, ML experts were needed to build customer churn prediction models until the introduction of Amazon SageMaker Canvas. Data preparation, feature engineering, and feature impact analysis are techniques that are essential to model building.