Models

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...

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...

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 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...

“If facing most people, then using retraction as a type of quality indicator may be very vital,” says Yuanxi Fu, an information science researcher on the University of Illinois Urbana-Champaign. There’s “type...

The factitious intelligence models that turn text into images are also useful...

But you don’t want any image—you wish the image you specified, typically with a text prompt. And so the diffusion model is paired with a second model—corresponding to a big language model (LLM)...

To get probably the most out of this tutorial, you need to have already got a solid understanding of how linear regression works and the assumptions behind it. You must also bear in mind...