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.

Understanding Core, Transformer Architecture . The foundational element of modern Large Language Models (LLMs) is a deep neural network architecture, predominantly leveraging the Transformer ...

The algorithm is rolling out as part of a broader update to the company’s flagship Gemini 2.5 LLM series. The two existing ...

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 ...

Sending a prompt to DeepSeek-V3 doesn’t activate the entire LLM, but only the specific neural network to which the request is routed. Each such neural network has 34 billion parameters, ...

Study shows reliance on AI for writing essays weakens neural connectivity, memory, and sense of ownership, raising cognitive debt concerns. Brains that used an LLM to write an essay presented ...

Intel Neural Chat 7B LLM The quality of data used for fine-tuning is vital for any language model’s performance. Intel Neural Chat 7B excels in this area with its unwavering focus on data quality .

The technology behind these systems is known as a large language model (LLM). These are artificial neural networks, a type of AI designed to mimic the human brain. They can generate general ...