Remove content tag devops
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Creating a web app for Gradio application on Azure using Docker: A step-by-step guide

Data Science Dojo

Additionally, ACR integrates with other Azure services, such as Azure Kubernetes Service (AKS) and Azure DevOps, making it easy to deploy containers to production environments and manage the entire application lifecycle. docker tag demo-gradio-app gradioappdemos.azurecr.io/demo-gradio-app

Azure 370
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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3

AWS Machine Learning Blog

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. In a production setting, you can decide to automatically notify another system that takes care of removing faulty metal tags from the production line.

AWS 89
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The most valuable AI use cases for business

IBM Journey to AI blog

YouTube will deliver a curated feed of content suited to customer interests. Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

AI 88
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Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

AWS Machine Learning Blog

Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance. However, make sure that the token has access to the repository’s contents and actions (workflows, runs, and artifacts). You can create either a classic or fine-grained access token.

AWS 100
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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning Blog

These tags also help track associated costs for the domain. The CMK encrypts both the SageMaker domain’s file system contents stored in Amazon EFS and the contents of the S3 bucket (data-bucket) that is provisioned to store data for SageMaker processing and transformation jobs.

AWS 98
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Prodigy: A new tool for radically efficient machine teaching

Explosion

Most of those insights have been used to make spaCy better: AI DevOps was hard, so we made sure models could be installed via pip. How easy would it be to create a bot to tag the issues automatically? In the evaluation data, 65% of the examples were labelled reject , i.e. they were tagged as not documentation issues.

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Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker

AWS Machine Learning Blog

Many of these foundation models have shown remarkable capability in understanding and generating human-like text, making them a valuable tool for a variety of applications, from content creation to customer support automation. However, these models are not without their challenges.

ML 89