A marriage of formal methods and LLMs seeks to harness the strengths of both.

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

The method includes, with a computing device, automatically determining an insight using uniquely identifiable data attributable to a unique entity and a reasoning graph. The reasoning graph includes ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In collaboration with Tsinghua University, DeepSeek developed a technique combining reasoning methods to guide AI models towards human preferences Chinese artificial intelligence (AI) start-up ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...