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

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 ...

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

When writing becomes too optimized through AI generation, the words lose the power behind the author’s struggle.

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 ...

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 ...

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...

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 ...

x-Tesla AI lead, Andrej Karpathy gave a one hour general-audience introduction to Large Language Models. The core technical component behind systems like ChatGPT, Claude, and Bard. What they are, ...

Thanks to their task-specific focus and local processing, this AI model makes sense for a variety of CX use cases.