Here’s what’s really going on inside an LLM’s neural network Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

The foundational element of modern Large Language Models (LLMs) is a deep neural network architecture, predominantly leveraging the Transformer network introduced by Vaswani (2017).

All of this text data, wherever it comes from, is processed through a neural network, a commonly used type of AI engine made up of multiple nodes and layers. These networks continually adjust the ...

May 22, 2024 13:15:00 Anthropic explains an attempt to look inside the 'black box' of LLM, the mechanism of AI, and find out which neural networks evoke certain concepts ...