RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
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Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...
Fully autonomous home-cage training system HABITS enables mice to learn complex cognitive behaviors without human intervention, expanding behavioral paradigms and optimizing training efficiency ...
Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...
Eli Lilly and Company (LLY) on Tuesday announced the launch of an artificial intelligence and machine learning platform ...