Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...

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With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

The Ohio Valley Museum of Discovery (OVMoD) is working to give young people hands-on experience working with their hands and ...

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Justina (short for 'Just an Interpreter for Arduino') was developed and built around a few objectives. On top of the list: simplicity for the user. Justina is a structured language, but it’s ...

Indian Institute of Technology Delhi has opened admissions for the third cohort of its Executive Programme in Robotics, aimed at building industry-ready capability as AI, IOT and intelligent ...

IIT Delhi is expanding its artificial intelligence and robotics training ecosystem as part of efforts to equip professionals ...

Editor’s note: This article was produced by a University of Massachusetts Amherst journalism student, in collaboration with MassLive, as part of a project in professor Steve Fox’s Introduction to ...