Running massive AI models locally on smartphones or laptops may be possible after a new compression algorithm trims down ...

Large language models work by using vast amounts of text data to train their algorithms, which learn patterns, relationships, and the structure of human language.

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum ...

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model ...

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

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

A new study shows large language models can translate more accurately by focusing on ambiguous, technical, or culturally ...

Here’s how these models typically work. When a user queries an LLM, an algorithm breaks that input text into a sequence of tokens. The model then converts each token into a string of numbers called an ...

It’s that large language models (LLMs) like Open AI’s ChatGPT, Google’s Gemini, and Meta’s Llama continue to get things wrong, and the problem is intractable. Known as hallucinations, the most ...

The emergence of generative artificial intelligence such as ChatGPT (using large language models) call into question the very ... Next let’s take a look at the claim that machine learning algorithms ...

The potential benefits of deploying large language models, from their low-cost, easy-to-use accessibility to their context sensitivity about the meaning of two-word phrases, cannot be ignored. In the ...