Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

One, these models are particularly good at learning how to apply context, due to the self-attention mechanism present in the architecture – self-attention is how a neural network contextualizes ...

The great breakthrough about this model is that it makes no assumption about input data type, while, for instance, existing convolutional neural networks work for images only. Source: Perceiver ...

The researchers chose a kind of neural network architecture known as a generative adversarial network (GAN), originally invented in 2014 to generate images. A GAN is composed of two neural networks — ...

The neural networks at the heart of language models are mathematical structures loosely inspired by the human brain. Each one contains many artificial neurons arranged in layers, with connections ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...