Data Phoenix Digest - ISSUE 47

Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.

Dmitry Spodarets
Dmitry Spodarets


Testing Feature Logic, Transformations, and Feature Pipelines with PyTest
In this article, you will learn how to design, build, and run tests for features using PyTest: execute unit tests for feature logic, transformation functions, and end-to-end tests for feature pipelines.

Tackling Multiple Tasks with a Single Visual Language Model
The DeepMind team we introduces Flamingo, a single visual language model that can tackle difficult problems with a handful of task-specific examples, without any additional training required.

Kubeflow MLOps : Automatic Pipeline Deployment with CI / CD / CT
Learn how to create an advanced Kubeflow pipeline, and automate its deployments and updates with continuous integration, deployment, and training.

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