OpenAI and Hearst Content Partnership
Hearst’s iconic brands bring curated lifestyle and local news content to OpenAI’s products.
Artificial Intelligence
Category Added in a WPeMatico Campaign
An update on disrupting deceptive uses of AI
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We are dedicated to identifying, preventing, and disrupting attempts to abuse our models for harmful ends.
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering Read More »
Evaluating fairness in ChatGPT
We’ve analyzed how ChatGPT responds to users based on their name, using AI research assistants to protect privacy.
Innovations, investments, and ROI: to make or to buy?
With the educational content shift taking place, publishers need to innovate. In a previous blog post, we’ve discussed why embracing content agility is key in this regard. Of course, such transitions require publishers to make investment-related decisions. With every innovation, the main question is, ‘Will we make or buy this?’To make: independence + uncertaintyThose who
Innovations, investments, and ROI: to make or to buy? Read More »
ELG book now available
The European Language Grid has published its book ‘European Language Grid – A Language Technology Platform for Multilingual Europe’ on the results of the project for European language technology and NLP cloud platform.This book documents the evolution and results of the EU project European Language Grid (2019-2022) and describes the architecture and implementation of the
After digitalisation comes automation: the publisher’s best next step
Recently, we’ve discussed why embracing content agility is key and explained that the road towards it is rather agile in itself. But what to do once you’ve gone down this road? What is the publisher’s next step after digitalisation?Automation tooling: what’s out there?Even though publishers use an increasing number of digital tools (such as content
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Content metadata: why keyword extraction requires automated labelling
Keywords are no science but an art. There is no such thing as ‘the right keyword,’ as we’re talking about a core concept incorporated into a piece of content in the broadest form. Texts don’t necessarily need to contain an exact keyword. For example, if the term ‘European Union’ is used several times, ‘European Commission’
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Content metadata: what automated labels can do for topic classification
To be future-proof, companies need to embrace automated labelling. But where to start? In this blog series, we focus on content metadata. A few weeks ago, we discussed keyword extraction. Today, we’ll have a closer look at a related label: topic classification.What is topic classification?Topic classification comes with an aggregated label. The main difference with
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Content metadata: the ‘why’ and ‘what’ of learning objectives tagging and automated labelling
Companies that want to keep up with market developments require well-organised metadata at a very granular level. They need to embrace automated labelling to be ready for the future. But labels and metadata are used at various levels, which means it’s not easy to see the forest for the trees.In this blog series, we focus