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AI Practitioner

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The intricacies of model management

By Klaus Haller

We take a look at MLOps, and some of the methods used to maintain model accuracy over time

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Labelbox raises $40m to streamline data labeling

By Rachel England

The company says its platform reduces human effort by 80 percent

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A risk and security perspective on AI

By Klaus Haller

We outline three potential threat scenarios and their implications

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Data catalogs: Enablers for AI projects

By Klaus Haller

A data catalog is the key difference between a data lake and a data swamp

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Experiment tracking platform Weights & Biases raises $45m in funding

By Rachel England

The platform aims to bring machine learning practitioners out of ‘the dark ages’

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Google Brain unveils trillion-parameter AI language model, the largest yet

By Louis Stone

Currently more of a research project than a commercial product

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Picture Pile gets EU funding to gamify image classification

By Rachel England

Like Tinder, but for science

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Know the difference between Data Lakes and Big Data – for Analytics and AI

By Klaus Haller

Quite often, the terms big data and data lake are used in conjunction, even interchangeably - but they are not the same

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Abacus.AI raises $22m as it launches model production tools

By Rachel England

The company wants to ‘precipitate an inflection’ in AI adoption

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Danish students develop tool to measure the carbon footprint of AI

By Rachel England

One training session with GPT-3 uses the same amount of energy as 126 homes in Denmark do in a year

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Open source ML framework Streamlit raises $21m, launches sharing platform

By Chuck Martin

“It’s like we gave the machine learning community a new superpower,” CEO Adrien Treuille tells AI Business

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Facebook launches Dynabench to test AI in realistic conditions

By Chuck Martin

Looking to solve the problem of users messing with its algorithms

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