In recent times, the AI field has been captivated by the success of enormous language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning tools able to tackling...
Consequently, some policymakers and business leaders—in Europe, specifically—are reconsidering their reliance on US-based tech and asking whether or not they can quickly spin up higher, homegrown alternatives. This is especially true for AI....
Introduction
Data science teams can operate in myriad ways inside an organization. These organizational models influence the kind of work that the team does, but in addition the team’s culture, goals, Impact, and overall value...
previous article on organizing for AI (link), we checked out how the interplay between three key dimensions — ownership of outcomes, outsourcing of staff, and the geographical proximity of team members — can...
In recent times, large language models (LLMs) have made significant progress in generating human-like text, translating languages, and answering complex queries. Nevertheless, despite their impressive capabilities, LLMs primarily operate by predicting the subsequent word...
The Ministry of Science and ICT (Minister Yoo Sang -im) announced on the twelfth that it discussed the AI+S & T plan (AI+S & T) on the ministerial meeting.
To begin with, with a...
“We've got been form of stuck with outdated notions of what fairness and bias means for a very long time,” says Divya Siddarth, founder and executive director of the Collective Intelligence Project, who didn't...