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Do large language models have high toxic probabilities?

Data Science Dojo

Sanmi Koyejo and Bo Li, experts in computer science, delve into this question through their research, evaluating GPT-3.5 While the newer models exhibit reduced toxicity on standard benchmarks, the researchers find that they can still be influenced to generate toxic and biased outputs, highlighting the need for caution in sensitive areas.

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Machine Learning in a non-Euclidean Space

Towards AI

Photo by Greg Rosenke on Unsplash This post was co-authored with Aniss Medbouhi and is based on his research under Prof. Danica Kragic’s supervision, at the KTH lab in the Robotics Perception and Learning Division. Landscape overview of the state-of-the art hyperbolic Machine Learning models for dimensionality reduction.

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Introducing NYU Center for Data Science Research Groups

NYU Center for Data Science

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Two sides of the same coin: Understanding AI and cognitive science

Dataconomy

While artificial intelligence is focused on creating intelligent machines that can perform human-like tasks, cognitive science is devoted to understanding the underlying cognitive processes and mechanisms that give rise to human intelligence. What is artificial intelligence (AI)? How do we use language to communicate and think?

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Imagine a self-driving car piloted by an AGI.

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What is spatial computing and how does Apple Vision work

Dataconomy

Spatial computing involves the integration of digital processes with activities involving humans, machines, objects, and their environments. What is spatial computing ( Image credit ) A significant benefit of this technology is its depth perception capability, which enables realistic interactions with virtual objects.

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Snapper provides machine learning-assisted labeling for pixel-perfect image object detection

AWS Machine Learning Blog

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. While seeing the whole object, we ask the machine to reason about the presence or absence of an edge directly at each pixel’s location as a classification task.