Knowledge is the key to high-level intelligence. How a model obtains, stores, understands, and applies knowledge has long been a critical research topic in machine intelligence. Recent years have ...

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during ...

In the AI wars, where tech giants have been racing to build ever-larger language models, a surprising new trend is emerging: small is the new big. As progress in large language models (LLMs) shows ...

AI large language models have been especially weak on math. There are now several papers from Google Deep Mind, Alibaba and other universities where AI large language models are at Math Olympiad ...

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 closely explore the rapidly emerging ...

Forbes contributors publish independent expert analyses and insights. Hessie Jones is a strategist, entrepreneur and investor covering AI Large language models have emerged as a transformative ...

Discover the science behind Yann LeCun's billion-dollar bet against LLMs, focusing on self-supervised learning and predictive ...

The original version of this story appeared in Quanta Magazine. Two years ago, in a project called the Beyond the Imitation Game benchmark, or BIG-bench, 450 researchers compiled a list of 204 tasks ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

As 2025 closes, referrals from social media and organic search are dead or dying, and generative AI is coming for facts. But 2026 may grant publishers an opportunity Silicon Valley has persistently ...