Models

How Relevance Models Foreshadowed Transformers for NLP

— that he saw further only by standing on the shoulders of giants — captures a timeless truth about science. Every breakthrough rests on countless layers of prior progress, until someday … all...

World models go mainstream

Good morning, AI enthusiasts. We have heard loads of commentary about world models being the long run, but the general public has had few ways to meaningfully access them. AI 'godmother' Fei-Fei Li just...

Method teaches generative AI models to locate personalized objects

Say an individual takes their French Bulldog, Bowser, to the dog park....

How the Rise of Tabular Foundation Models Is Reshaping Data Science

Tabular Data! Recent advances in AI—starting from systems able to holding coherent conversations to those generating realistic video sequences—are largely attributable to artificial neural networks (ANNs). These achievements have been made possible by algorithmic...

Prediction vs. Search Models: What Data Scientists Are Missing

As data scientists, we’ve turn out to be extremely focused on constructing algorithms, causal/predictive models, and advice systems (and now genAI). We optimize for accuracy, fine-tune hyperparameters, and search for the subsequent big fancy...

OpenAI is big in India. Its models are steeped in caste bias.

Internalized caste prejudice  Modern AI models are trained on large bodies of text and image data from the web. This causes them to inherit and reinforce harmful stereotypes—for instance, associating “doctor” with...

Are Foundation Models Ready for Your Production Tabular Data?

are large-scale AI models trained on an unlimited and diverse range of information, comparable to audio, text, images, or a mix of them. For this reason versatility, foundation models are revolutionizing Natural Language...

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