The very general Transformer becomes what is called a pre-training that can then be applied to specific neural networks in order to perform on specific tasks.

Brief Abstract: Transformers are a class of neural networks that elevate the capabilities of conventional models like convolutional neural networks (CNNs) by integrating the distinctive self-attention ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

With the arrival of transformer technology, AI researchers suddenly had an efficient way to convert text to tokens, which can be used by neural networks to process and deliver output at speed.

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.

When it comes to audience building, there are multiple advantages to using neural networks.

Transformer model: A neural network architecture useful for understanding language that does not have to analyze words one at a time but can look at an entire sentence at once.

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent ...

Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.