Auto-classification Data Science DevOps 
Marktechpost
DECEMBER 18, 2024
TabNine TabNine is an AI-powered code auto-completion tool developed by Codota, designed to enhance coding efficiency across a variety of Integrated Development Environments (IDEs). DataRobot DataRobot, founded in 2012, is an AI-powered data science platform designed for building and deploying machine learning models.
Unite.AI
JUNE 24, 2024
It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. It checks data and model quality, data drift, target drift, and regression and classification performance. What is MLOps?
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AWS Machine Learning Blog
OCTOBER 18, 2023
This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. About the Authors Mason Cahill is a Senior DevOps Consultant with AWS Professional Services.
The MLOps Blog
JUNE 27, 2023
With built-in components and integration with Google Cloud services, Vertex AI simplifies the end-to-end machine learning process, making it easier for data science teams to build and deploy models at scale. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.
AWS Machine Learning Blog
MAY 31, 2024
trillion token dataset primarily consisting of web data from RefinedWeb with 11 billion parameters. It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. The last tweet (“I love spending time with my family”) is left without a sentiment to prompt the model to generate the classification itself.
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