Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

ChatGPT is a large language model created by OpenAI. To produce natural language responses that resemble humans, it was trained on large volumes of text data using the generative pre-trained ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences ...

These models, which are based on machine learning and neural network technology, analyze and label different parts of a language so that they can "talk" like a person. Or, in ChatGPT's case (and ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

Large language models are neural networks designed to predict the next word in a given sentence or phrase. They are trained for this task using a corpus of words collected from transcripts ...

Scalability and performance: Consider the scalability of the deployment. Large language models can be resource-intensive, so make sure that the infrastructure can handle concurrent requests.

Foundation models are very large neural networks, such as large language models, that are customarily "pre-trained" -- that is, they have already been developed to a level of capability.