It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...

Today's large language models (LLMs) have limits on how much information you can input before they give you a result. Google has unveiled a way to change that: a method that allows LLMs to accept an ...

Large language models (LLMs) could help health researchers analyse large qualitative datasets more efficiently, but they should be treated as a secondary analytic lens rather than a substitute for ...

AI-powered chatbots such as ChatGPT and Google Bard are certainly having a moment—the next generation of conversational software tools promise to do everything from taking over our web searches to ...

A new paper by researchers at Google claims to give large language models (LLMs) the ability to work with text of infinite length. The paper introduces Infini-attention, a technique that configures ...

Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, ...