Blog #152: Machine Learning Review February 2023

Photo by Glen Carrie on Unsplash

[ED: There’s a bit of a mix of content here. On balance, it’s 3/5 propeller hats.]

Here’s my review of all of the interesting things that happened in machine intelligence in February 2023.

Attention is all you need (paper) This is the paper that started it all! Well, not quite, but it is nonetheless one of the most significant papers in AI in recent memory. “Attention Is All You Need” introduces the Transformer, a novel neural network architecture for language understanding that relies solely on an attention mechanism, eschewing recurrence and convolution, which leads to improvements in parallelisation, training time, and performance in machine translation tasks. #TransformerModel #AttentionMechanism #NLPInnovation #MachineTranslation #DeepLearningBreakthrough

Attention is all you need (video) This is an explanatory video for the above paper. It explains the Transformer model, focusing on its unique attention mechanism and its impact on natural language processing, particularly in areas like machine translation, offering an accessible understanding of this significant advancement in AI. #AIExplained #TransformerTechnology #NLPRevolution #DeepLearningTutorial #AttentionInAI

Originally published by M@ on Medium.