The AI industry’s massive bet on transformer models may not be enough for true AGI

As Big Tech pours unprecedented resources into scaling large language models, critics argue that transformer-based systems ...
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'Catastrophic overtraining' could harm large language AI models that are trained on more data for the sake of training

Researchers from top US universities warn extending pre-training can be detrimental to performance Too much pre-training can deliver worse performance due to something akin to the butterfly effect The ...
VentureBeat

Researchers warn of 'catastrophic overtraining' in LLMs

A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
NextBigFuture

Microsoft and China AI Research Possible Reinforcement Pre-Training Breakthrough

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...
ascopubs.org

Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence ...

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...
News Medical

DNA language model performance hinges on pre-training data choices

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...

Study: AI models that consider user’s feeling are more likely to make errors

In a new paper published this week in Nature, researchers from Oxford University’s Internet Institute found that specially ...