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.

Large language models (LLM), for example, are prone to hallucinations. When an LLM is asked a question it doesn't know the answer to, it will make up something without acknowledging the artifice.

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).

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 ...

New Intel Neural-Chat 7B LLM tops Hugging Face leaderboard beating original Mistral 7B. 2:22 pm November 28, 2023 By Julian Horsey. ... a carefully curated collection of about 500,000 examples.

ChatGPT, Google Bard, and other bots like them, are examples of large language models, ... LLMs then refine their internal neural networks further to get better results next time.