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Self-attention in transformers simplified for deep learning

We dive deep into the concept of Self Attention in Transformers! Self attention is a key mechanism that allows models like ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...