From AI transformers to computer-based reasoning to rethinking drug design: AI pioneers discuss the future

Jensen Huang at GTC

In a packed panel discussion at GTC, moderated by NVIDIA Founder and CEO Jensen Huang, the architects of the groundbreaking transformer model gathered to explore their creation’s potential. The panel featured seven of the eight authors of the seminal “Attention Is All You Need Paper” paper, which introduced transformers – a type of neural network designed to handle sequential data, like text or time series, in a way that allows for much more parallel processing than previous architectures like recurrent neural networks (RNNs). Transformers accomplish this through a mechanism called “attention,” which enables the model to differentially weigh the importance of different parts of the input data.

The transformer architecture powers large language models like GPT-4 and has ignited widespread interest in AI applications across industries including in biology, wher…

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