UC Berkeley researchers say large language models have gained "metalinguistic ability," a hallmark of human language and ...

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model aggregation ...

Content management systems (CMS) most organizations use today are also based on the notion that content has a home. A web page is where it typically sits. This means the content management ...

AI Flow, the innovative framework developed by TeleAI, the Institute of Artificial Intelligence of China Telecom, has been ...

The open nature of OpenAI’s upcoming language model means companies and governments will be able to run the model themselves, ...

Katanemo Labs' new LLM routing framework aligns with human preferences and adapts to new models without retraining.

Researchers have developed a technique that significantly improves the performance of large language models without ...

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Humans often use natural language instructions to control and interact with robots for task execution. This poses a big challenge to robots that need to not only parse and understand human ...