Unveiling the Secrets of Multimodal Neurons: A Journey from Molyneux to Transformers

Transformers could be one of the most important innovations in the artificial intelligence domain. These neural network architectures, introduced in 2017, have revolutionized how machines understand and generate human language.  Unlike their predecessors, transformers rely on self-attention mechanisms to process input data in parallel, enabling them to capture hidden relationships and dependencies within sequences of […]

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