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.

ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI’s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with ...

Instead of relying on LLM grounding or fine-tuning, we train a custom-built neural network tailored to our specific needs and based on campaign performance data.

An LLM is usually trained with unstructured and structured data, a process that includes neural network technology, which allows the LLM to understand language’s structure, meaning, and context.

The ideal architecture, they suggest, should have different memory components that can be coordinated to use existing knowledge, memorize new facts, and learn abstractions from their context.

Specifically, a transformer can read vast amounts of text, spot patterns in how words and phrases relate to each other, and then make predictions about what words should come next.

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely obsolete within five years.

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 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 Skip to main content Skip to secondary menu ...