In other words, Hartley entropy is a special case of Shannon entropy

#math #machinearning #informationtheory

The best pre MSc Machine Learning course. And it’s free. What’s your excuse to learning ML fundamentals properly?

work.caltech.edu/tel...

#machinearning

A step towards understanding machine intelligence the human way EPFL researchers have discovered key ‘units’ in large AI models that seem to be important for language, mirroring the brain’s language system. When these specific units were turned off, the models got...

A step towards understanding machine intelligence the human way actu.epfl.ch/news/a-step-... #epfl #machinearning #neuroAI

I’d love some options from others in the #AI #ML #Machinearning space

Intelligence is not the true risk when it comes to AI, at least not in the present. Only centering the debate around intelligence is dangerous for lots of reasons. #ai #machinearning

Knowledge Distillation with Adapted Weight Although large models have shown a strong capacity to solve large-scale problems in many areas including natural language and computer vision, their voluminous parameters are hard to deploy in a real-...

🚀 Excited to share our new paper, accepted by Statistics(Statistical Methods for xAI) #machinearning #deeplearning #statistics

AOM can be found at: arxiv.org/abs/2501.02705

I have noticed while training transformer models that if the context window is too small the performance is terrible. Can one speed up training convergence by setting a minimum context window length?

#AI #machinearning #gpt

Day 2 of our SICSS-ODISSEI summer school ✨

We have started an intensive 2-day training on #machinearning by the Netherlands eScience Center💻