Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Maximizing Research Accessibility with Efficient Model Benchmarking
This chapter explores the creation and evaluation of a language model trained on a single GPU, making it accessible for researchers with limited computing power. It highlights the use of the NWIC-8 Hutter Prize Wikipedia dataset and showcases the model's impressive performance against larger counterparts despite its simpler architecture.
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