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Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service

AWS Machine Learning Blog

The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. You can use both text and images as queries. You can use CLIP with Amazon SageMaker to perform encoding.

AWS 87
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How to Save Trained Model in Python

The MLOps Blog

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. Reusability & reproducibility: Building ML models is time-consuming by nature. These 3 operations work in harmony to simplify the whole model management process.

Python 106
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SAM from Meta AI (Part 1): Segmentation with Prompts

PyImageSearch

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects.

AI 117
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Introducing spaCy v2.1

Explosion

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. In this post, we highlight some of the things we’re especially pleased with, and explain some of the most challenging parts of preparing this big release. Version 2.1 Devlin et al.

Python 52
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Deploy thousands of model ensembles with Amazon SageMaker multi-model endpoints on GPU to minimize your hosting costs

AWS Machine Learning Blog

Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. GPUs’ large number of parallel processing cores makes them well-suited for these DL tasks.