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Empowering Model Sharing, Enhanced Annotation, and Azure Blob Backups in NLP Lab

John Snow Labs

Steps to publish your NLP Lab trained model to NLP Models HUB If you are an admin user accessing the “Hub” menu, you will find all downloaded or trained models on your “Models” Page. This new feature eliminates the need to manually download the model from NLP Lab and upload it to the NLP Models HUB form.

NLP 52
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

This is done on the features that security vendors might sign, starting from hardcoded strings, IP/domain names of C&C servers, registry keys, file paths, metadata, or even mutexes, certificates, offsets, as well as file extensions that are correlated to the encrypted files by ransomware.

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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

Instead of downloading all the models to the endpoint instance, SageMaker dynamically loads and caches the models as they are invoked. If the model has not been loaded, it downloads the model artifact from Amazon Simple Storage Service (Amazon S3) to that instance’s Amazon Elastic Block Storage volume (Amazon EBS).

BERT 75
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Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend

AWS Machine Learning Blog

Each model deployed with Triton requires a configuration file ( config.pbtxt ) that specifies model metadata, such as input and output tensors, model name, and platform. JIT compiles the TorchScript code into an optimized intermediate representation, making it suitable for deployment in non-Python environments.

ML 78
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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

This is more about picking, for some active learning or for knowing where the data comes from and knowing the metadata to focus on the data that are the most relevant to start with. What’s your approach to different modalities of classification detection and segmentation? This is a much smaller scale than Auto ML.