I was consulting with a colleague (a tenured principal investigator) whose lab had an internal disagreement about a research process in a mixed-methods study involving recruitment of teachers. I ...
The emergence of large language models (LLMs) is considered a revolutionary breakthrough in modern industries and daily lives. LLMs are now widely used in diverse fields, including smart factories, ...
Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers from the MESH Incubator shows that generative AI models continue to fall ...
LONDON, April 1 (Reuters) - Hundreds of billions of dollars are riding on the assumption that artificial intelligence will be reliable enough for high-stakes work. New research suggests it may never ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Self-regulated learning (SRL) is defined as "the process by which learners activate and sustain cognitive, behavioral, and emotional strategies systematically oriented toward goal attainment" [1]. It ...
Everyone working on artificial intelligence these days fears the worst-case scenario. The precocious LLM will suddenly glide off the rails and start spouting dangerous thoughts. One minute it’s a ...
Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together to prototype a large language ...
Popular large language models (LLMs) are unable to provide reliable information about key public services such as health, taxes and benefits, the Open Data Institute (ODI) has found. Drawing on more ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
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