Microsoft on Thursday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator — ...

A comprehensive guide to Transformer models. We detail core concepts such as the foundational technology of the AI revolution, attention mechanisms, Self-Attention, Multi-Head Attention, and ...

Resources about word vectors, aka word embeddings, and distributed representations for words. Word vectors are numeric representations of words where similar words have similar vectors. Word vectors ...

Since the model's parameters (weights) are all initialized randomly, the (untrained) model produces a probability distribution with arbitrary values for each cell/word. We can compare it with the ...

A new study links layer-time dynamics in Transformer models with real-time human processing. The findings suggest that AI models may not only reach similar outputs as humans but could also follow ...

In the summer of 2017, a group of Google Brain researchers quietly published a paper that would forever change the trajectory of artificial intelligence. Titled "Attention Is All You Need," this ...

T cells recognize pathogens by binding their peptides through specific and diverse receptors. Computationally predicting what receptor binds what peptide from their amino acid sequences alone has ...