Andrej Karpathy has spoken of Tesla FSD Beta depending more and more on Transformers, a new Deep Neural Network architecture that has taken the AI world by storm. From OpenAI’s GPT-3 and Dall-e 2, to ...

In that analogy, the human research community’s development of new architectures such as the transformer networks that perform well in both NLP tasks and neural language modeling could be akin to ...

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.

Transformers have become the default choice of neural architecture for many machine learning applications. Their success across multiple domains such as language, vision, and speech raises the ...

Multiple layers of self-attention and feed-forward neural networks make up the transformer's architecture, enabling it to learn complex patterns and representations.

MatMul-free LM removes matrix multiplications from language model architectures to make them faster and much more memory-efficient.