Teaching computers to make sense of human language has long been a goal of computer scientists. Natural language processing algorithms aim to make sense of it.

Large language models are great for mimicking humans, but how they actually work is much more fascinating.

Groq's newly announced language processor, the Groq LPU, has demonstrated that it can run 70-billion-parameter enterprise-scale language models at a record speed of more than 100 tokens per second.

The neural network architecture: The mastermind of language processing The brain behind the magic is the neural network architecture, primarily built on transformer models.