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.

One version of the gpt-oss large language model can run on a laptop, and performs nearly as well as the company’s most ...

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.

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

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 ...

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 ...

Most LLMs use a specific neural network architecture called a transformer, which has some tricks particularly suited to language processing. (That GPT after Chat stands for Generative Pretrained ...

Intel has released a new large language model in the form of the Neural-Chat 7B a fine-tuned model based on mistralai/Mistral-7B-v0.1 on the open source dataset Open-Orca/SlimOrca.